andras/great-ai
1
0
Fork 0
Code Issues Pull requests 1 Projects Releases 4 Packages Wiki Activity Actions

Improve documentation

Browse source
This commit is contained in:
Andras Schmelczer 2022-07-09 23:10:21 +02:00
parent 51f6f7174b
commit 63a45989f4
No known key found for this signature in database
GPG key ID: 0EA1BC97D0AB076E
40 changed files with 956 additions and 420 deletions
Download patch file Download diff file Expand all files Collapse all files

4
.vscode/tasks.json vendored
View file

@ -4,9 +4,9 @@
{ {
"label": "Format and lint", "label": "Format and lint",
"type": "shell", "type": "shell",
"command": "source .env/bin/activate && scripts/format-python.sh great_ai tests", "command": "source .env/bin/activate && scripts/format-python.sh great_ai docs tests",
"windows": { "windows": {
"command": ".env\\bin\\activate.bat; scripts\\format-python.sh great_ai tests" "command": ".env\\bin\\activate.bat; scripts\\format-python.sh great_ai docs tests"
}, },
"group": "test", "group": "test",
"presentation": { "presentation": {

16
README.md
View file

@ -1,13 +1,15 @@
# GreatAI # ![logo](docs/media/favicon.ico) GreatAI
> GreatAI helps you easily transform your prototype AI code into production-ready software.
**work in progress, do not use!** [![Test](https://github.com/schmelczer/great-ai/actions/workflows/test.yml/badge.svg)](https://github.com/schmelczer/great-ai/actions/workflows/test.yml)
[![Test](https://github.com/schmelczer/great-ai/actions/workflows/test.yml/badge.svg)](https://github.com/schmelczer/great-ai/actions/workflows/check.yml)
[![Quality Gate Status](https://sonar.scoutinscience.com/api/project_badges/measure?project=great-ai&metric=alert_status)](https://sonar.schmelczer.com/dashboard?id=great-ai) [![Quality Gate Status](https://sonar.scoutinscience.com/api/project_badges/measure?project=great-ai&metric=alert_status)](https://sonar.schmelczer.com/dashboard?id=great-ai)
[![Publish on PyPI](https://github.com/schmelczer/great-ai/actions/workflows/publish.yaml/badge.svg)](https://github.com/schmelczer/great-ai/actions/workflows/publish.yaml) [![Publish on PyPI](https://github.com/schmelczer/great-ai/actions/workflows/publish.yaml/badge.svg)](https://github.com/schmelczer/great-ai/actions/workflows/publish.yaml)
[![Publish on DockerHub](https://github.com/schmelczer/great-ai/actions/workflows/docker.yaml/badge.svg)](https://github.com/schmelczer/great-ai/actions/workflows/docker.yaml) [![Publish on DockerHub](https://github.com/schmelczer/great-ai/actions/workflows/docker.yaml/badge.svg)](https://github.com/schmelczer/great-ai/actions/workflows/docker.yaml)
[![Downloads](https://pepy.tech/badge/great-ai/month)](https://pepy.tech/project/great-ai) [![Downloads](https://pepy.tech/badge/great-ai/month)](https://pepy.tech/project/great-ai)
[Check out the documentation here](https://great-ai.scoutinscience.com/).
## Find `great-ai` on [DockerHub](https://hub.docker.com/repository/docker/schmelczera/great-ai) ## Find `great-ai` on [DockerHub](https://hub.docker.com/repository/docker/schmelczera/great-ai)
@ -33,8 +35,10 @@ def hello_world(name: str) -> str:
``` ```
> Create a new file called `main.py` > Create a new file called `main.py`
Deploy by executing `python3 -m great-ai main.py` Deploy by executing `great-ai main.py`
> Or: `python3 -m great-ai main.py` > Or: `great_ai main.py`
> Or: `python3 -m great_ai main.py`
Find the dashboard at [http://localhost:6060](http://localhost:6060/dashboard/). Find the dashboard at [http://localhost:6060](http://localhost:6060/dashboard/).

16
docs/README.md
View file

@ -1,16 +0,0 @@
# **S**coutinScience **U**tilitie**S** for text processing [![Lint and test ScoutinScience utilities](https://github.com/ScoutinScience/platform/actions/workflows/sus-general.yaml/badge.svg)](https://github.com/ScoutinScience/platform/actions/workflows/sus-general.yaml)
## Exports
- [clean](src/sus/clean.py)
- [language](src/sus/clean.py)
- [unique](src/sus/unique.py)
- [parallel_map](src/sus/parallel_map.py)
- [evaluate_ranking](src/sus/evaluate_ranking/evaluate_ranking.py)
- [get_sentences](src/sus/get_sentences.py)
## Development
- Optional booleans must have a default value of `False`.
- No imports in top-level `__init__.py`, in order to not load anything unnecessary automatically
- Should only be updated through a PR

7
docs/explanation.md
View file

@ -0,0 +1,7 @@
# Explanation
A lot more details and discussion about the problem context and approaches of GreatAI can be found in my thesis.
<div style="display: flex; justify-content: space-evenly;" markdown>
[::fontawesome-solid-graduation-cap: Download](thesis/main.py){ .md-button .md-button--primary }
</div>

6
docs/great_ai_example-main/.dockerignore
View file

@ -1,6 +0,0 @@
.venv
.env
**/.cache
.git
**/__pycache__
.dockerignore

10
docs/great_ai_example-main/.gitignore vendored
View file

@ -1,10 +0,0 @@
.env
.venv
.DS_Store
__pycache__
.cache
.mypy_cache
.pytest_cache
**/.ipynb_checkpoints
**/tracing_database.json
*.egg-info

10
docs/great_ai_example-main/.vscode/settings.json vendored
View file

@ -1,10 +0,0 @@
{
"files.exclude": {
"**/__pycache__": true,
"**/.ipynb_checkpoints": true,
"**/.mypy_cache": true,
"**/.pytest_cache": true
},
"notebook.output.textLineLimit": 400,
"python.defaultInterpreterPath": ".env/bin/python"
}

21
docs/great_ai_example-main/.vscode/tasks.json vendored
View file

@ -1,21 +0,0 @@
{
"version": "2.0.0",
"tasks": [
{
"label": "Format and lint",
"type": "shell",
"command": "source .env/bin/activate; ./format.sh .",
"windows": {
"command": ".env\\bin\\activate.bat; .\\format.sh ."
},
"group": "test",
"presentation": {
"reveal": "always",
"panel": "new"
},
"options": {
"cwd": "${workspaceFolder}"
}
}
]
}

11
docs/great_ai_example-main/Dockerfile
View file

@ -1,11 +0,0 @@
FROM test
COPY requirements.txt .
RUN pip install --no-cache-dir ./great_ai
COPY mongo.ini .
COPY deploy.ipynb .
# RUN python3 -m large_file --backend s3 -secrets ~/.aws/credentials --cache my_first_file.json:3 my_second_file my_folder:0
CMD ["deploy.ipynb"]

23
docs/great_ai_example-main/README.md
View file

@ -1,23 +0,0 @@
# Train a domain classifier on the [semantic scholar dataset](https://api.semanticscholar.org/corpus)
![steps](diagrams/scope.svg)
## Install
### System dependencies
Make sure you have `python3`, `pip`, and `venv` installed.
> On Ubuntu, execute: `sudo apt install -y python3 python3-pip python3-venv`
### Install dependencies
```sh
python3 -m venv --copies .env
source .env/bin/activate
pip install -r requirements.txt
```
## Execute
- [Part 1](src/data.ipynb)
- [Part 2](src/train.ipynb)
- [Part 3](src/deploy.ipynb)

31
docs/great_ai_example-main/format.sh
View file

@ -1,31 +0,0 @@
#!/bin/sh
set -e
echo "Installing dependencies if necessary"
python3 -m pip install --upgrade autoflake isort black[jupyter] mypy flake8
echo "Formatting and checking $1"
cd $1
echo Running autoflake
python3 -m autoflake --expand-star-imports --remove-all-unused-imports --ignore-init-module-imports --remove-unused-variables --in-place -r .
echo Running isort
python3 -m isort --profile black --skip .env .
echo Running black
python3 -m black . --exclude .env
if ls *.py 1> /dev/null 2>&1; then
echo Running mypy
python3 -m mypy --namespace-packages --ignore-missing-imports --install-types --non-interactive --disallow-untyped-defs --disallow-incomplete-defs --pretty --follow-imports=silent --exclude=external/ --exclude=/build/ .
fi
echo Running Flake8
python3 -m flake8 . --count --show-source --statistics --exclude=__init__.py,.env,external --ignore=E501,E722,E402,W503,E203
cd -
echo "Finished formatting"

4
docs/great_ai_example-main/requirements.txt
View file

@ -1,4 +0,0 @@
great_ai
notebook
nbformat
nbconvert

2
docs/great_ai_example-main/src/mongo.ini
View file

@ -1,2 +0,0 @@
mongo_connection_string=mongodb://localhost:27017/ # change this
mongo_database=great_ai_example # this will be automatically created

0
docs/how-to-guides.md → docs/how-to-guides/index.md
View file

29
docs/how-to-guides/scraping.ipynb Normal file
View file

@ -0,0 +1,29 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import httpx\n",
"\n",
"transport = httpx.AsyncHTTPTransport(retries=2)\n",
"limits = httpx.Limits(max_connections=None)\n",
"timeout = httpx.Timeout(connect=60.0, read=300, write=60, pool=None)\n",
"async with httpx.AsyncClient(\n",
" transport=transport, limits=limits, timeout=timeout\n",
") as client:\n",
" pass"
]
}
],
"metadata": {
"language_info": {
"name": "python"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}

230
docs/ideas.drawio
View file

File diff suppressed because one or more lines are too long

45
docs/index.md
View file

@ -1,29 +1,30 @@
# Overview of GreatAI <div style="display: flex; justify-content: space-between; align-items: center;">
<h1 style="margin: 0">Overview of GreatAI</h1>
<img src="media/logo.png" width=80>
</div>
[![Test](https://github.com/schmelczer/great-ai/actions/workflows/test.yml/badge.svg)](https://github.com/schmelczer/great-ai/actions/workflows/check.yml) [![Test](https://github.com/schmelczer/great-ai/actions/workflows/test.yml/badge.svg)](https://github.com/schmelczer/great-ai/actions/workflows/check.yml)
[![Quality Gate Status](https://sonar.scoutinscience.com/api/project_badges/measure?project=great-ai&metric=alert_status)](https://sonar.schmelczer.com/dashboard?id=great-ai) [![Quality Gate Status](https://sonar.scoutinscience.com/api/project_badges/measure?project=great-ai&metric=alert_status)](https://sonar.schmelczer.com/dashboard?id=great-ai)
[![Publish on PyPI](https://github.com/schmelczer/great-ai/actions/workflows/publish.yaml/badge.svg)](https://github.com/schmelczer/great-ai/actions/workflows/publish.yaml) [![Publish on PyPI](https://github.com/schmelczer/great-ai/actions/workflows/publish.yaml/badge.svg)](https://github.com/schmelczer/great-ai/actions/workflows/publish.yaml)
[![Publish on DockerHub](https://github.com/schmelczer/great-ai/actions/workflows/docker.yaml/badge.svg)](https://github.com/schmelczer/great-ai/actions/workflows/docker.yaml) [![Publish on DockerHub](https://github.com/schmelczer/great-ai/actions/workflows/docker.yaml/badge.svg)](https://github.com/schmelczer/great-ai/actions/workflows/docker.yaml)
[![Downloads](https://pepy.tech/badge/great-ai/month)](https://pepy.tech/project/great-ai) [![Downloads](https://pepy.tech/badge/great-ai/month)](https://pepy.tech/project/great-ai)
Applying AI is becoming increasingly easier but many case studies have shown that these applications are often deployed poorly. This may lead to suboptimal performance and to introducing [unintended biases](https://en.wikipedia.org/wiki/Weapons_of_Math_Destruction){ target=_blank }. To extend the list of available solutions, ==GreatAI helps you easily transform your prototype AI code into production-ready software.== Applying AI is becoming increasingly easier but many case studies have shown that these applications are often deployed poorly. This may lead to suboptimal performance and to introducing [unintended biases](https://en.wikipedia.org/wiki/Weapons_of_Math_Destruction){ target=_blank }. To extend the list of available solutions, ==GreatAI helps you easily transform your prototype AI code into production-ready software.==
??? quote "Case studies" ??? quote "Case studies"
"There is a need to consider and adapt well established SE practices which have been ignored or had a very narrow focus in ML literature." "There is a need to consider and adapt well established SE practices which have been ignored or had a very narrow focus in ML literature."
&mdash; [John et al.](https://ieeexplore.ieee.org/abstract/document/9359253) &mdash; [John et al.](https://ieeexplore.ieee.org/abstract/document/9359253){ target=_blank }
"Finally, we have found that existing tools to aid Machine Learning development do not address the specificities of different projects, and thus, are seldom adopted by teams." &mdash; [Haakman et al.](https://link.springer.com/article/10.1007/s10664-021-09993-1) "Finally, we have found that existing tools to aid Machine Learning development do not address the specificities of different projects, and thus, are seldom adopted by teams." &mdash; [Haakman et al.](https://link.springer.com/article/10.1007/s10664-021-09993-1){ target=_blank }
"Because a mature system might end up being (at most) 5% machine learning code and (at least) 95% glue code, it may be less costly to create a clean native solution rather than re-use a generic package." &mdash; [Sculley et al.](https://www.researchgate.net/profile/Todd-Phillips/publication/319769912_Hidden_Technical_Debt_in_Machine_Learning_Systems/links/61e716d68d338833e37a7fd6/Hidden-Technical-Debt-in-Machine-Learning-Systems.pdf)
"For example, practice 25 is very important for “Traceability", yet relatively weakly adopted. We expect that the results from this type of analysis can, in the future, provide useful guidance for practitioners in terms of aiding them to assess their rate of adoption for each practice and to create roadmaps for improving their processes. &mdash; [Serban et al.](https://dl.acm.org/doi/abs/10.1145/3382494.3410681?casa_token=uCFz0dtDR6gAAAAA:4_8OMJ-5njwopYkB1KSGAu9JfbNq4nfa8LRE0fj84ckjfo-GgtcYQivZTGxal3M4haoA8r_xwpw)
"Because a mature system might end up being (at most) 5% machine learning code and (at least) 95% glue code, it may be less costly to create a clean native solution rather than re-use a generic package." &mdash; [Sculley et al.](https://www.researchgate.net/profile/Todd-Phillips/publication/319769912_Hidden_Technical_Debt_in_Machine_Learning_Systems/links/61e716d68d338833e37a7fd6/Hidden-Technical-Debt-in-Machine-Learning-Systems.pdf){ target=_blank }
"For example, practice 25 is very important for “Traceability", yet relatively weakly adopted. We expect that the results from this type of analysis can, in the future, provide useful guidance for practitioners in terms of aiding them to assess their rate of adoption for each practice and to create roadmaps for improving their processes. &mdash; [Serban et al.](https://dl.acm.org/doi/abs/10.1145/3382494.3410681?casa_token=uCFz0dtDR6gAAAAA:4_8OMJ-5njwopYkB1KSGAu9JfbNq4nfa8LRE0fj84ckjfo-GgtcYQivZTGxal3M4haoA8r_xwpw){ target=_blank }
## Features ## Features
- [x] Save prediction traces of each prediction including arguments and model versions - [x] Save prediction traces of each prediction including arguments and model versions
- [x] Save feedback and merge it into a ground-truth database - [x] Save feedback and merge it into a ground-truth database *:arrow_right: quasi-shadow deployment*
- [x] Version and store models and data on shared infrastructure *(MongoDB GridFS, S3-compatible storage, shared local-volume)* - [x] Version and store models and data on shared infrastructure *(MongoDB GridFS, S3-compatible storage, shared local-volume)*
- [x] Automatically scaffolded custom REST API (and OpenAPI schema) for easy integration - [x] Automatically scaffolded custom REST API (and OpenAPI schema) for easy integration
- [x] Input validation - [x] Input validation
@ -33,11 +34,11 @@ Applying AI is becoming increasingly easier but many case studies have shown tha
- [x] Built-in parallelisation (with support for multiprocessing, async, and mixed modes) for batch processing - [x] Built-in parallelisation (with support for multiprocessing, async, and mixed modes) for batch processing
- [x] Well-tested utilities for common NLP tasks (cleaning, language-tagging, sentence-segmentation, etc.) - [x] Well-tested utilities for common NLP tasks (cleaning, language-tagging, sentence-segmentation, etc.)
- [x] A simple, unified configuration interface - [x] A simple, unified configuration interface
- [x] Fully-typed API for IntelliSense support - [x] Fully-typed API for [Pylance](https://github.com/microsoft/pylance-release){ target=_blank } and [MyPy](http://mypy-lang.org){ target=_blank } support
- [x] Auto-reload for development - [x] Auto-reload for development
- [x] Deployable Jupyter Notebooks
- [x] Docker support for deployment - [x] Docker support for deployment
- [x] Dashboard for high-level overview and searching traces - [x] Dashboard for high-level overview and searching traces
- [ ] Shadow deployment
## Hello world ## Hello world
@ -66,7 +67,7 @@ def hello_world(name: str) -> str: #(2)
```sh title="terminal" ```sh title="terminal"
great-ai hello-world.py great-ai hello-world.py
``` ```
> Navigate to [localhost:6060](http://127.0.0.1:6060/) in your browser. > Navigate to [localhost:6060](http://127.0.0.1:6060) in your browser.
<div style="display: flex; justify-content: space-evenly;" markdown> <div style="display: flex; justify-content: space-evenly;" markdown>
![](media/hello-world-dashboard.png){ loading=lazy } ![](media/hello-world-dashboard.png){ loading=lazy }
@ -75,14 +76,13 @@ great-ai hello-world.py
</div> </div>
!!! success !!! success
Your GreatAI service is ready for production use. Many of the [SE4ML best-practices](https://se-ml.github.io/){ target=_blank } are configured and implemented automatically. To have full control over your service and to understand what else you might need to do in your use case, continue reading this documentation. Your GreatAI service is ready for production use. Many of the [SE4ML best-practices](https://se-ml.github.io){ target=_blank } are configured and implemented automatically. To have full control over your service and to understand what else you might need to do in your use case, continue reading this documentation.
## Why is this GREAT? ## Why is this GREAT?
![scope of GreatAI](scope-simple.drawio.svg) ![scope of GreatAI](media/scope-simple.drawio.svg)
GreatAI fits between the prototype and deployment phase of your (or your organisation's) AI development lifecycle. This is highlighted with blue in the diagram. Here, a number of best practices can be automatically implemented concerning the following 5 aspects: GreatAI fits between the prototype and deployment phase of your (or your organisation's) AI development lifecycle. This is highlighted with blue in the diagram. Here, a number of best practices can be automatically implemented aiming to achieve the following attributes:
- **G**eneral: use any Python library without restriction - **G**eneral: use any Python library without restriction
- **R**obust: have error-handling and well-tested utilities out-of-the-box - **R**obust: have error-handling and well-tested utilities out-of-the-box
@ -92,13 +92,20 @@ GreatAI fits between the prototype and deployment phase of your (or your organis
## Why GreatAI? ## Why GreatAI?
There are other, existing solutions aiming to facilitate this phase. [Amazon SageMaker](https://aws.amazon.com/sagemaker/){ target=_blank } and [Seldon Core](https://www.seldon.io/solutions/open-source-projects/core){ target=_blank } provide the most comprehensive suite of features. If you have the opportunity use those, do that because they're great. There are other, existing solutions aiming to facilitate this phase. [Amazon SageMaker](https://aws.amazon.com/sagemaker){ target=_blank } and [Seldon Core](https://www.seldon.io/solutions/open-source-projects/core){ target=_blank } provide the most comprehensive suite of features. If you have the opportunity use those, do that because they're great.
However, research indicates that professionals rarely use them. This may be due to their inherent setup and operating complexity. GreatAI is designed to be as simple to use as possible. Its clear, high-level API and sensible default configuration makes it extremely easy to start using. Despite its relative simplicity over Seldon Core, it still implements many [best-practices](https://se-ml.github.io/){ target=_blank }, and thus, can meaningfully improve your deployment without requiring prohibitively large effort. However, research indicates that professionals rarely use them. This may be due to their inherent setup and operating complexity. GreatAI is designed to be as simple to use as possible. Its clear, high-level API and sensible default configuration makes it extremely easy to start using. Despite its relative simplicity over Seldon Core, it still implements many [best-practices](https://se-ml.github.io){ target=_blank }, and thus, can meaningfully improve your deployment without requiring prohibitively large effort.
<div style="display: flex; justify-content: space-evenly;" markdown> <div style="display: flex; justify-content: space-evenly;" markdown>
[:fontawesome-brands-python: Find it on PyPI](https://pypi.org/project/great-ai/){ .md-button .md-button--primary } [:fontawesome-brands-python: Find it on PyPI](https://pypi.org/project/great-ai){ .md-button .md-button--primary }
[:fontawesome-brands-docker: Find it on DockerHub](https://hub.docker.com/repository/docker/schmelczera/great-ai){ .md-button .md-button--primary } [:fontawesome-brands-docker: Find it on DockerHub](https://hub.docker.com/repository/docker/schmelczera/great-ai){ .md-button .md-button--primary }
</div> </div>
## Production use
GreatAI has been battle-tested on the core platform services of [ScoutinScience](https://www.scoutinscience.com/){ target=_blank }.
![ScoutinScience logo](media/scoutinscience.svg#only-light)
![ScoutinScience logo](media/scoutinscience-white.svg#only-dark)

BIN
docs/media/favicon.ico Normal file
View file

Binary file not shown.
Side by side

After

Width:  |  Height:  |  Size: 15 KiB

BIN
docs/media/logo.png Normal file
View file

Binary file not shown.
Side by side

After

Width:  |  Height:  |  Size: 84 KiB

40
docs/scope-data.drawio.svg → docs/media/scope-data.drawio.svg
View file

@ -1,4 +1,4 @@
<svg host="65bd71144e" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" version="1.1" width="1181px" height="281px" viewBox="-0.5 -0.5 1181 281" content="&lt;mxfile&gt;&lt;diagram id=&quot;ccudx8biEBM-x_P_p45R&quot; name=&quot;Page-1&quot;&gt;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&lt;/diagram&gt;&lt;/mxfile&gt;"> <svg host="65bd71144e" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" version="1.1" width="1181px" height="281px" viewBox="-0.5 -0.5 1181 281" content="&lt;mxfile&gt;&lt;diagram id=&quot;ccudx8biEBM-x_P_p45R&quot; name=&quot;Page-1&quot;&gt;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&lt;/diagram&gt;&lt;/mxfile&gt;">
<defs/> <defs/>
<g> <g>
<path d="M 331 140 L 379.63 140" fill="none" stroke="rgb(0, 0, 0)" stroke-miterlimit="10" pointer-events="stroke"/> <path d="M 331 140 L 379.63 140" fill="none" stroke="rgb(0, 0, 0)" stroke-miterlimit="10" pointer-events="stroke"/>
@ -18,7 +18,7 @@
</div> </div>
</div> </div>
</foreignObject> </foreignObject>
<text x="274" y="156" fill="rgb(0, 0, 0)" font-family="Helvetica" font-size="12px" text-anchor="middle"> <text x="274" y="157" fill="rgb(0, 0, 0)" font-family="Helvetica" font-size="12px" text-anchor="middle">
Preprocessed data Preprocessed data
</text> </text>
</switch> </switch>
@ -50,13 +50,13 @@
</g> </g>
<path d="M 526 140 L 560.63 140" fill="none" stroke="rgb(0, 0, 0)" stroke-miterlimit="10" pointer-events="stroke"/> <path d="M 526 140 L 560.63 140" fill="none" stroke="rgb(0, 0, 0)" stroke-miterlimit="10" pointer-events="stroke"/>
<path d="M 565.88 140 L 558.88 143.5 L 560.63 140 L 558.88 136.5 Z" fill="rgb(0, 0, 0)" stroke="rgb(0, 0, 0)" stroke-miterlimit="10" pointer-events="all"/> <path d="M 565.88 140 L 558.88 143.5 L 560.63 140 L 558.88 136.5 Z" fill="rgb(0, 0, 0)" stroke="rgb(0, 0, 0)" stroke-miterlimit="10" pointer-events="all"/>
<path d="M 376 180 L 396 100 L 536 100 L 516 180 Z" fill="#1ba1e2" stroke="#006eaf" stroke-miterlimit="10" pointer-events="all"/> <path d="M 376 180 L 396 100 L 536 100 L 516 180 Z" fill="rgb(255, 255, 255)" stroke="rgb(0, 0, 0)" stroke-miterlimit="10" pointer-events="all"/>
<g transform="translate(-0.5 -0.5)"> <g transform="translate(-0.5 -0.5)">
<switch> <switch>
<foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;"> <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
<div xmlns="http://www.w3.org/1999/xhtml" style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 158px; height: 1px; padding-top: 140px; margin-left: 377px;"> <div xmlns="http://www.w3.org/1999/xhtml" style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 158px; height: 1px; padding-top: 140px; margin-left: 377px;">
<div data-drawio-colors="color: #ffffff; " style="box-sizing: border-box; font-size: 0px; text-align: center;"> <div data-drawio-colors="color: rgb(0, 0, 0); " style="box-sizing: border-box; font-size: 0px; text-align: center;">
<div style="display: inline-block; font-size: 12px; font-family: Helvetica; color: rgb(255, 255, 255); line-height: 1.2; pointer-events: all; white-space: normal; overflow-wrap: normal;"> <div style="display: inline-block; font-size: 12px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: all; white-space: normal; overflow-wrap: normal;">
<b> <b>
<font style="font-size: 14px"> <font style="font-size: 14px">
Exploration &amp; Exploration &amp;
@ -70,21 +70,21 @@
</div> </div>
</div> </div>
</foreignObject> </foreignObject>
<text x="456" y="144" fill="#ffffff" font-family="Helvetica" font-size="12px" text-anchor="middle"> <text x="456" y="144" fill="rgb(0, 0, 0)" font-family="Helvetica" font-size="12px" text-anchor="middle">
Exploration &amp;... Exploration &amp;...
</text> </text>
</switch> </switch>
</g> </g>
<path d="M 639.5 190 L 639.92 240 Q 640 250 650 250 L 743.63 250" fill="none" stroke="rgb(0, 0, 0)" stroke-miterlimit="10" stroke-dasharray="3 3" pointer-events="stroke"/> <path d="M 639.5 190 L 639.92 240 Q 640 250 650 250 L 743.63 250" fill="none" stroke="rgb(0, 0, 0)" stroke-miterlimit="10" stroke-dasharray="3 3" pointer-events="stroke"/>
<path d="M 748.88 250 L 741.88 253.5 L 743.63 250 L 741.88 246.5 Z" fill="rgb(0, 0, 0)" stroke="rgb(0, 0, 0)" stroke-miterlimit="10" pointer-events="all"/> <path d="M 748.88 250 L 741.88 253.5 L 743.63 250 L 741.88 246.5 Z" fill="rgb(0, 0, 0)" stroke="rgb(0, 0, 0)" stroke-miterlimit="10" pointer-events="all"/>
<path d="M 567 105 C 567 96.72 599.46 90 639.5 90 C 658.73 90 677.17 91.58 690.77 94.39 C 704.36 97.21 712 101.02 712 105 L 712 175 C 712 183.28 679.54 190 639.5 190 C 599.46 190 567 183.28 567 175 Z" fill="#1ba1e2" stroke="#006eaf" stroke-miterlimit="10" pointer-events="all"/> <path d="M 567 105 C 567 96.72 599.46 90 639.5 90 C 658.73 90 677.17 91.58 690.77 94.39 C 704.36 97.21 712 101.02 712 105 L 712 175 C 712 183.28 679.54 190 639.5 190 C 599.46 190 567 183.28 567 175 Z" fill="rgb(255, 255, 255)" stroke="rgb(0, 0, 0)" stroke-miterlimit="10" pointer-events="all"/>
<path d="M 712 105 C 712 113.28 679.54 120 639.5 120 C 599.46 120 567 113.28 567 105" fill="none" stroke="#006eaf" stroke-miterlimit="10" pointer-events="all"/> <path d="M 712 105 C 712 113.28 679.54 120 639.5 120 C 599.46 120 567 113.28 567 105" fill="none" stroke="rgb(0, 0, 0)" stroke-miterlimit="10" pointer-events="all"/>
<g transform="translate(-0.5 -0.5)"> <g transform="translate(-0.5 -0.5)">
<switch> <switch>
<foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;"> <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
<div xmlns="http://www.w3.org/1999/xhtml" style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 143px; height: 1px; padding-top: 153px; margin-left: 568px;"> <div xmlns="http://www.w3.org/1999/xhtml" style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 143px; height: 1px; padding-top: 153px; margin-left: 568px;">
<div data-drawio-colors="color: #ffffff; " style="box-sizing: border-box; font-size: 0px; text-align: center;"> <div data-drawio-colors="color: rgb(0, 0, 0); " style="box-sizing: border-box; font-size: 0px; text-align: center;">
<div style="display: inline-block; font-size: 12px; font-family: Helvetica; color: rgb(255, 255, 255); line-height: 1.2; pointer-events: all; white-space: normal; overflow-wrap: normal;"> <div style="display: inline-block; font-size: 12px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: all; white-space: normal; overflow-wrap: normal;">
<font style="font-size: 14px"> <font style="font-size: 14px">
Trained models  &amp; prototype inference code Trained models  &amp; prototype inference code
</font> </font>
@ -92,7 +92,7 @@
</div> </div>
</div> </div>
</foreignObject> </foreignObject>
<text x="640" y="156" fill="#ffffff" font-family="Helvetica" font-size="12px" text-anchor="middle"> <text x="640" y="157" fill="rgb(0, 0, 0)" font-family="Helvetica" font-size="12px" text-anchor="middle">
Trained models  &amp; protot... Trained models  &amp; protot...
</text> </text>
</switch> </switch>
@ -151,13 +151,13 @@
</text> </text>
</switch> </switch>
</g> </g>
<path d="M 740 60 L 760 0 L 950 0 L 930 60 Z" fill="rgb(255, 255, 255)" stroke="rgb(0, 0, 0)" stroke-miterlimit="10" pointer-events="none"/> <path d="M 740 60 L 760 0 L 950 0 L 930 60 Z" fill="#1ba1e2" stroke="#006eaf" stroke-miterlimit="10" pointer-events="none"/>
<g transform="translate(-0.5 -0.5)"> <g transform="translate(-0.5 -0.5)">
<switch> <switch>
<foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;"> <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
<div xmlns="http://www.w3.org/1999/xhtml" style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 208px; height: 1px; padding-top: 30px; margin-left: 741px;"> <div xmlns="http://www.w3.org/1999/xhtml" style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 208px; height: 1px; padding-top: 30px; margin-left: 741px;">
<div data-drawio-colors="color: rgb(0, 0, 0); " style="box-sizing: border-box; font-size: 0px; text-align: center;"> <div data-drawio-colors="color: #ffffff; " style="box-sizing: border-box; font-size: 0px; text-align: center;">
<div style="display: inline-block; font-size: 12px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: none; white-space: normal; overflow-wrap: normal;"> <div style="display: inline-block; font-size: 12px; font-family: Helvetica; color: rgb(255, 255, 255); line-height: 1.2; pointer-events: none; white-space: normal; overflow-wrap: normal;">
<b style="font-size: 14px"> <b style="font-size: 14px">
Transforming into Transforming into
<br/> <br/>
@ -169,7 +169,7 @@
</div> </div>
</div> </div>
</foreignObject> </foreignObject>
<text x="845" y="34" fill="rgb(0, 0, 0)" font-family="Helvetica" font-size="12px" text-anchor="middle"> <text x="845" y="34" fill="#ffffff" font-family="Helvetica" font-size="12px" text-anchor="middle">
Transforming into... Transforming into...
</text> </text>
</switch> </switch>
@ -178,14 +178,14 @@
<path d="M 845 218.88 L 841.5 211.88 L 845 213.63 L 848.5 211.88 Z" fill="rgb(0, 0, 0)" stroke="rgb(0, 0, 0)" stroke-miterlimit="10" pointer-events="none"/> <path d="M 845 218.88 L 841.5 211.88 L 845 213.63 L 848.5 211.88 Z" fill="rgb(0, 0, 0)" stroke="rgb(0, 0, 0)" stroke-miterlimit="10" pointer-events="none"/>
<path d="M 845 190 L 845 213.63" fill="none" stroke="rgb(0, 0, 0)" stroke-miterlimit="10" pointer-events="none"/> <path d="M 845 190 L 845 213.63" fill="none" stroke="rgb(0, 0, 0)" stroke-miterlimit="10" pointer-events="none"/>
<path d="M 845 218.88 L 841.5 211.88 L 845 213.63 L 848.5 211.88 Z" fill="rgb(0, 0, 0)" stroke="rgb(0, 0, 0)" stroke-miterlimit="10" pointer-events="none"/> <path d="M 845 218.88 L 841.5 211.88 L 845 213.63 L 848.5 211.88 Z" fill="rgb(0, 0, 0)" stroke="rgb(0, 0, 0)" stroke-miterlimit="10" pointer-events="none"/>
<path d="M 767.5 105 C 767.5 96.72 802.2 90 845 90 C 865.55 90 885.27 91.58 899.8 94.39 C 914.33 97.21 922.5 101.02 922.5 105 L 922.5 175 C 922.5 183.28 887.8 190 845 190 C 802.2 190 767.5 183.28 767.5 175 Z" fill="rgb(255, 255, 255)" stroke="rgb(0, 0, 0)" stroke-miterlimit="10" pointer-events="none"/> <path d="M 767.5 105 C 767.5 96.72 802.2 90 845 90 C 865.55 90 885.27 91.58 899.8 94.39 C 914.33 97.21 922.5 101.02 922.5 105 L 922.5 175 C 922.5 183.28 887.8 190 845 190 C 802.2 190 767.5 183.28 767.5 175 Z" fill="#1ba1e2" stroke="#006eaf" stroke-miterlimit="10" pointer-events="none"/>
<path d="M 922.5 105 C 922.5 113.28 887.8 120 845 120 C 802.2 120 767.5 113.28 767.5 105" fill="none" stroke="rgb(0, 0, 0)" stroke-miterlimit="10" pointer-events="none"/> <path d="M 922.5 105 C 922.5 113.28 887.8 120 845 120 C 802.2 120 767.5 113.28 767.5 105" fill="none" stroke="#006eaf" stroke-miterlimit="10" pointer-events="none"/>
<g transform="translate(-0.5 -0.5)"> <g transform="translate(-0.5 -0.5)">
<switch> <switch>
<foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;"> <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
<div xmlns="http://www.w3.org/1999/xhtml" style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 153px; height: 1px; padding-top: 153px; margin-left: 769px;"> <div xmlns="http://www.w3.org/1999/xhtml" style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 153px; height: 1px; padding-top: 153px; margin-left: 769px;">
<div data-drawio-colors="color: rgb(0, 0, 0); " style="box-sizing: border-box; font-size: 0px; text-align: center;"> <div data-drawio-colors="color: #ffffff; " style="box-sizing: border-box; font-size: 0px; text-align: center;">
<div style="display: inline-block; font-size: 12px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: none; white-space: normal; overflow-wrap: normal;"> <div style="display: inline-block; font-size: 12px; font-family: Helvetica; color: rgb(255, 255, 255); line-height: 1.2; pointer-events: none; white-space: normal; overflow-wrap: normal;">
<font style="font-size: 14px"> <font style="font-size: 14px">
Artifact combining the model with deplyoment best-practices Artifact combining the model with deplyoment best-practices
</font> </font>
@ -193,7 +193,7 @@
</div> </div>
</div> </div>
</foreignObject> </foreignObject>
<text x="845" y="156" fill="rgb(0, 0, 0)" font-family="Helvetica" font-size="12px" text-anchor="middle"> <text x="845" y="157" fill="#ffffff" font-family="Helvetica" font-size="12px" text-anchor="middle">
Artifact combining the mod... Artifact combining the mod...
</text> </text>
</switch> </switch>
Side by side Swipe Overlay

Before

Width:  |  Height:  |  Size: 19 KiB

After

Width:  |  Height:  |  Size: 19 KiB

Before After
Before After

0
docs/great_ai_example-main/diagrams/scope-data.svg → docs/media/scope-data.svg
View file

Side by side Swipe Overlay

Before

Width:  |  Height:  |  Size: 14 KiB

After

Width:  |  Height:  |  Size: 14 KiB

Before After
Before After

0
docs/great_ai_example-main/diagrams/scope-deploy.svg → docs/media/scope-deploy.svg
View file

Side by side Swipe Overlay

Before

Width:  |  Height:  |  Size: 14 KiB

After

Width:  |  Height:  |  Size: 14 KiB

Before After
Before After

0
docs/scope-simple.drawio.svg → docs/media/scope-simple.drawio.svg
View file

Side by side Swipe Overlay

Before

Width:  |  Height:  |  Size: 9.8 KiB

After

Width:  |  Height:  |  Size: 9.8 KiB

Before After
Before After

0
docs/great_ai_example-main/diagrams/scope-train.svg → docs/media/scope-train.svg
View file

Side by side Swipe Overlay

Before

Width:  |  Height:  |  Size: 14 KiB

After

Width:  |  Height:  |  Size: 14 KiB

Before After
Before After

0
docs/great_ai_example-main/diagrams/scope.svg → docs/media/scope.svg
View file

Side by side Swipe Overlay

Before

Width:  |  Height:  |  Size: 14 KiB

After

Width:  |  Height:  |  Size: 14 KiB

Before After
Before After

122
docs/media/scoutinscience-white.svg Normal file
View file

@ -0,0 +1,122 @@
<?xml version="1.0" encoding="utf-8"?>
<!-- Generator: Adobe Illustrator 26.2.1, SVG Export Plug-In . SVG Version: 6.00 Build 0) -->
<svg version="1.1" id="Group_805" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" viewBox="0 0 369.5 67.2" style="enable-background:new 0 0 369.5 67.2;" xml:space="preserve" fill="white">
<style type="text/css">
.st0{clip-path:url(#SVGID_00000084499246685778113730000005394386986623376315_);fill:#14C9C0;}
.st1{clip-path:url(#SVGID_00000084499246685778113730000005394386986623376315_);fill:#ffffff;}
</style>
<g>
<defs>
<rect id="SVGID_1_" width="369.5" height="67.2" />
</defs>
<clipPath id="SVGID_00000094609971218746498830000013677106623865950620_">
<use xlink:href="#SVGID_1_" style="overflow:visible;" />
</clipPath>
<path id="Path_549" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#14C9C0;" d="
M14.4,22.4l6.1-0.5c-0.3-2.3-1.7-4.4-3.7-5.6c-2-1.2-4.4-1.8-6.8-1.6c-2.4,0-4.6,0.8-6.5,2.2c-1.9,1.4-3,3.6-2.9,5.9
c-0.1,2.2,1,4.3,2.9,5.5c2,1.2,4.2,2.1,6.5,2.7c3.4,1.1,5.1,2.1,5.1,3.2c0,1-0.5,1.9-1.4,2.4c-0.9,0.6-1.9,0.9-3,0.8
c-1.1,0.1-2.1-0.2-3.1-0.7c-0.9-0.4-1.4-1.3-1.5-2.3L0,34.7c0.1,2.4,1.5,4.6,3.6,5.8c2.2,1.3,4.7,2,7.3,1.9c2.5,0,5-0.7,7.1-2.1
c2-1.3,3.2-3.6,3.2-6c0-2.1-1-4.1-2.8-5.2c-2-1.1-4-2-6.2-2.6c-1.3-0.4-2.5-0.9-3.8-1.4c-1.1-0.6-1.7-1.4-1.7-2.2
c0-0.9,0.4-1.8,1.1-2.4c0.7-0.6,1.6-0.9,2.5-0.8c0.9-0.1,1.8,0.2,2.6,0.6C13.8,20.7,14.3,21.5,14.4,22.4 M44.7,34.3
c-3.2,3-8.1,2.9-11.2-0.2c-3.1-3.1-3.2-8.2,0-11.4c0,0,0,0,0,0c3.1-3.1,8.1-3.2,11.2-0.2l3.9-4.2c-1.3-1.2-2.7-2.1-4.4-2.8
c-1.6-0.6-3.3-0.9-5-0.9c-7.6,0-13.8,6.2-13.8,13.8c0,7.6,6.2,13.8,13.8,13.8c1.7,0,3.4-0.3,5-0.9c1.6-0.6,3.1-1.6,4.4-2.8
L44.7,34.3z M124.6,20.5h7.8v-5.4h-7.8V0l-6.1,1.2v40.4h6.1L124.6,20.5z" />
<path id="Path_550" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#14C9C0;" d="
M143.7,19.2L143.7,19.2l0-4.2l-6.1,1.2v3.5h0v21.9h6.1V19.2z" />
<path id="Path_551" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#14C9C0;" d="
M243.6,19.2L243.6,19.2l0-4.1l-6.1,1.2v3.5h0v21.9h6.1L243.6,19.2z" />
<path id="Path_552" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#14C9C0;" d="
M110.7,29V15.1h0V15l-6.1,1.2v3.5h0v9.6c0,4-3.2,7.2-7.2,7.2c-4,0-7.2-3.2-7.2-7.2v-1.1l-6.1,1.2c0.3,7.3,6.4,13.1,13.7,12.8
C105.1,42,110.7,36.1,110.7,29 M84.2,19.8l6.1-1.2v-3.5l0,0V15l-6.1,1.2V19.8L84.2,19.8L84.2,19.8z" />
<path id="Path_553" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#14C9C0;" d="
M369.5,30.7c0.1-2.1-0.2-4.2-0.7-6.3c-0.7-2.1-1.8-4.1-3.3-5.7c-5.6-5.5-14.5-5.5-20,0c-2.6,2.5-4,6-4,9.6c-0.1,4.1,1.8,7.9,5,10.4
c1.4,1.1,2.9,2,4.6,2.5c1.7,0.6,3.5,0.9,5.3,0.9c4.7,0.1,9.2-2,12-5.7l-4.8-3.1c-1.1,1.4-2.6,2.4-4.3,3c-1.6,0.6-3.3,0.7-5,0.5
c-1.6-0.2-3.2-0.9-4.5-1.9c-1.3-1.1-2.3-2.5-2.7-4.2L369.5,30.7z M363.3,25.8h-16c0.5-1.7,1.6-3.1,3-4.1c1.4-1.1,3.2-1.7,5-1.7
c1.8,0,3.5,0.6,4.9,1.6C361.7,22.6,362.8,24.1,363.3,25.8 M323.8,34.1c-3.1-3.1-3.2-8.2,0-11.4c0,0,0,0,0,0
c3.1-3.1,8.1-3.2,11.2-0.2l3.9-4.2c-1.3-1.2-2.7-2.1-4.4-2.8c-1.6-0.6-3.3-0.9-5-0.9c-7.6,0-13.8,6.2-13.8,13.8c0,0,0,0,0,0
c0,7.6,6.2,13.8,13.8,13.8c1.7,0,3.4-0.3,5-0.9c1.6-0.6,3.1-1.6,4.4-2.8l-3.9-4.2C331.9,37.3,326.9,37.2,323.8,34.1 M303.9,41.6
h6.1v-14c0.1-2.8-0.7-5.6-2.2-7.9c-1.3-2-3.2-3.5-5.4-4.3c-2.1-0.9-4.4-1.1-6.7-0.7c-2.3,0.3-4.4,1.3-6.1,2.9V15l-6.1,1.2v0.4h0v25
h6.1v-14c-0.1-2,0.8-3.9,2.3-5.3c2.8-2.3,7-2.3,9.8,0c1.5,1.3,2.4,3.3,2.3,5.3L303.9,41.6z M255.4,30.7h22.3
c0.1-2.1-0.2-4.2-0.7-6.3c-0.7-2.1-1.8-4.1-3.3-5.7c-5.6-5.5-14.5-5.5-20,0c-2.6,2.5-4,6-4,9.6c-0.1,4.1,1.8,7.9,5,10.4
c1.4,1.1,2.9,2,4.6,2.5c1.7,0.6,3.5,0.9,5.3,0.9c4.7,0.1,9.2-2,12-5.7l-4.8-3.1c-1.1,1.4-2.6,2.4-4.3,3c-1.6,0.6-3.3,0.7-5,0.5
c-1.6-0.2-3.2-0.9-4.5-1.9C256.8,33.8,255.8,32.4,255.4,30.7 M255.6,25.8c0.5-1.7,1.6-3.1,3-4.1c1.4-1.1,3.2-1.7,5-1.7
c1.8,0,3.5,0.6,4.9,1.6c1.5,1,2.6,2.4,3,4.2H255.6z M217.1,34.1c-3.1-3.1-3.2-8.2,0-11.4c0,0,0,0,0,0c3.1-3.1,8.1-3.2,11.2-0.2
l3.9-4.2c-1.3-1.2-2.7-2.1-4.4-2.8c-1.6-0.6-3.3-0.9-5-0.9c-7.6,0-13.8,6.2-13.8,13.8c0,7.6,6.2,13.8,13.8,13.8
c1.7,0,3.4-0.3,5-0.9c1.6-0.6,3.1-1.6,4.4-2.8l-3.9-4.2C225.2,37.3,220.2,37.2,217.1,34.1 M190.4,22.8c0-0.9,0.4-1.8,1.1-2.4
c0.7-0.6,1.6-0.9,2.5-0.8c0.9-0.1,1.8,0.2,2.6,0.6c0.8,0.5,1.3,1.3,1.5,2.2l6.1-0.5c-0.3-2.3-1.7-4.4-3.7-5.6
c-2-1.2-4.4-1.8-6.8-1.6c-2.4,0-4.6,0.8-6.5,2.2c-1.9,1.4-3,3.6-2.9,5.9c-0.1,2.2,1,4.3,2.9,5.5c2,1.2,4.2,2.1,6.5,2.7
c3.4,1.1,5.1,2.1,5.1,3.2c0,1-0.5,1.9-1.4,2.4c-0.9,0.6-1.9,0.9-3,0.8c-1.1,0.1-2.1-0.2-3.1-0.7c-0.9-0.4-1.4-1.3-1.5-2.3l-6.1,0.2
c0.1,2.4,1.5,4.6,3.6,5.8c2.2,1.3,4.7,2,7.3,1.9c2.5,0,5-0.7,7.1-2.1c2-1.3,3.2-3.6,3.2-6c0-2.1-1-4.1-2.8-5.2c-2-1.1-4-2-6.2-2.6
c-1.3-0.4-2.5-0.9-3.8-1.4C191,24.4,190.4,23.6,190.4,22.8 M172,41.7h6.1v-14c0.1-2.8-0.7-5.6-2.2-7.9c-1.3-2-3.2-3.5-5.4-4.3
c-2.1-0.9-4.4-1.1-6.7-0.7c-2.3,0.3-4.4,1.3-6.1,2.9V15l-6.1,1.2v0.1h0v25.3h6.1v-14c-0.1-2,0.8-3.9,2.3-5.3c2.8-2.3,7-2.3,9.8,0
c1.5,1.3,2.4,3.3,2.3,5.3L172,41.7z" />
<path id="Path_554" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#ffffff;" d="
M94.5,25.3l-1-5.2l-14.1,2.8l0.3,1.4l-1.5,0.3c-0.6-2.3-1.9-4.3-3.5-5.9c-5.4-5.4-14.1-5.4-19.5,0c-2.6,2.6-4.1,6.1-4.1,9.8
c0,7.6,6.1,13.8,13.7,13.8c3.7,0,7.2-1.5,9.8-4.1c2.6-2.5,4.1-6.1,4.1-9.7c0-0.5,0-1-0.1-1.6l1.5-0.3l0.3,1.5L94.5,25.3z
M72.4,28.4c0.1,1.9-0.6,3.8-1.9,5.3c-3,3.1-8.1,3.2-11.2,0.2c-0.1-0.1-0.1-0.1-0.2-0.2c-1.3-1.5-1.9-3.3-1.9-5.3
c-0.1-1.9,0.6-3.8,1.9-5.3c1.5-1.6,3.5-2.5,5.7-2.4c2.1-0.1,4.2,0.8,5.6,2.4C71.8,24.6,72.4,26.5,72.4,28.4" />
<path id="Path_555" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#ffffff;" d="
M71.2,64.6h-4L66.4,67h-1.8l3.9-10.2h1.6L73.9,67h-1.9L71.2,64.6z M67.8,63.2h3L69.2,59L67.8,63.2z" />
<rect id="Rectangle_1378" x="78.1" y="56.8" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#ffffff;" width="1.8" height="10.2" />
<rect id="Rectangle_1379" x="84.4" y="62" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#ffffff;" width="3.7" height="1.4" />
<path id="Path_556" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#ffffff;" d="M92.5,67
V56.8H96c0.9-0.1,1.9,0.2,2.6,0.7c0.6,0.5,1,1.3,0.9,2.1c0,0.5-0.1,0.9-0.4,1.3c-0.3,0.4-0.7,0.7-1.1,0.9c0.5,0.1,1,0.4,1.3,0.8
c0.3,0.4,0.5,1,0.5,1.5c0.1,0.8-0.3,1.7-0.9,2.2c-0.8,0.6-1.7,0.8-2.6,0.8L92.5,67z M94.3,61.1H96c0.5,0,0.9-0.1,1.3-0.4
c0.3-0.3,0.5-0.7,0.5-1.1c0-0.4-0.1-0.8-0.4-1.1c-0.4-0.3-0.9-0.4-1.3-0.3h-1.7V61.1z M94.3,62.4v3.2h2c0.5,0,0.9-0.1,1.3-0.4
c0.6-0.6,0.6-1.7,0-2.3c-0.3-0.3-0.7-0.5-1.1-0.5L94.3,62.4z" />
<path id="Path_557" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#ffffff;" d="
M110.2,64.6h-4l-0.8,2.4h-1.9l3.9-10.2h1.6l3.9,10.2H111L110.2,64.6z M106.7,63.2h3l-1.5-4.2L106.7,63.2z" />
<path id="Path_558" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#ffffff;" d="
M122.3,64.4c0-0.4-0.2-0.8-0.5-1c-0.5-0.3-1.1-0.6-1.7-0.7c-0.7-0.2-1.3-0.5-2-0.8c-0.9-0.4-1.4-1.3-1.4-2.3c0-0.8,0.4-1.6,1-2
c0.8-0.6,1.7-0.8,2.6-0.8c0.7,0,1.3,0.1,1.9,0.4c0.5,0.2,1,0.6,1.3,1.1c0.3,0.5,0.5,1,0.5,1.6h-1.8c0-0.5-0.2-0.9-0.5-1.3
c-0.4-0.3-0.9-0.5-1.4-0.5c-0.5,0-1,0.1-1.4,0.4c-0.3,0.2-0.5,0.6-0.5,1c0,0.4,0.2,0.7,0.5,0.9c0.5,0.3,1.1,0.6,1.7,0.7
c0.7,0.2,1.3,0.5,1.9,0.8c0.4,0.3,0.8,0.6,1.1,1c0.2,0.4,0.3,0.9,0.3,1.4c0,0.8-0.3,1.6-1,2c-0.8,0.5-1.7,0.8-2.7,0.8
c-0.7,0-1.4-0.1-2-0.4c-0.6-0.2-1.1-0.6-1.4-1.1c-0.3-0.5-0.5-1.1-0.5-1.7h1.8c0,0.5,0.2,1,0.6,1.3c0.5,0.3,1.1,0.5,1.7,0.5
c0.5,0,1-0.1,1.4-0.4C122.1,65.1,122.3,64.8,122.3,64.4" />
<path id="Path_559" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#ffffff;" d="
M134.4,62.5h-4.2v3.1h4.9V67h-6.7V56.8h6.6v1.4h-4.9v2.8h4.2L134.4,62.5z" />
<path id="Path_560" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#ffffff;" d="
M139.5,67V56.8h3c0.8,0,1.7,0.2,2.4,0.6c0.7,0.4,1.3,1,1.6,1.7c0.4,0.8,0.6,1.7,0.6,2.5v0.5c0,0.9-0.2,1.8-0.6,2.6
c-0.4,0.7-0.9,1.3-1.6,1.7c-0.8,0.4-1.6,0.6-2.5,0.6L139.5,67z M141.3,58.2v7.4h1.2c0.8,0.1,1.6-0.3,2.1-0.9
c0.5-0.7,0.8-1.6,0.8-2.5v-0.6c0.1-0.9-0.2-1.8-0.7-2.5c-0.5-0.6-1.3-0.9-2.1-0.9L141.3,58.2z" />
<path id="Path_561" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#ffffff;" d="
M165.2,58.2H162V67h-1.8v-8.8h-3.2v-1.4h8.1V58.2z" />
<path id="Path_562" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#ffffff;" d="
M175.4,62.5h-4.2v3.1h4.9V67h-6.7V56.8h6.6v1.4h-4.9v2.8h4.2L175.4,62.5z" />
<path id="Path_563" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#ffffff;" d="
M188.2,63.7c0,1-0.5,1.9-1.2,2.6c-0.8,0.6-1.8,1-2.8,0.9c-0.8,0-1.5-0.2-2.2-0.6c-0.6-0.4-1.1-1-1.4-1.6c-0.4-0.8-0.5-1.6-0.5-2.5
v-1c0-0.9,0.2-1.7,0.5-2.6c0.3-0.7,0.8-1.3,1.5-1.7c0.7-0.4,1.4-0.6,2.2-0.6c1,0,2,0.3,2.7,0.9c0.7,0.7,1.2,1.6,1.2,2.6h-1.8
c0-0.6-0.2-1.2-0.6-1.6c-0.4-0.4-1-0.5-1.5-0.5c-0.7,0-1.4,0.3-1.8,0.8c-0.5,0.7-0.7,1.6-0.6,2.5v0.9c-0.1,0.9,0.2,1.8,0.6,2.5
c0.4,0.6,1,0.9,1.7,0.9c0.6,0,1.1-0.1,1.6-0.5c0.4-0.4,0.6-1,0.7-1.6L188.2,63.7z" />
<path id="Path_564" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#ffffff;" d="
M200.8,67H199v-4.5h-4.6V67h-1.8V56.8h1.8v4.3h4.6v-4.3h1.8L200.8,67z" />
<path id="Path_565" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#ffffff;" d="
M219.2,58.2H216V67h-1.8v-8.8h-3.2v-1.4h8.1V58.2z" />
<path id="Path_566" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#ffffff;" d="
M227.2,63.1h-2V67h-1.8V56.8h3.6c1-0.1,1.9,0.2,2.7,0.8c0.7,0.6,1,1.4,1,2.3c0,0.6-0.2,1.2-0.5,1.7c-0.4,0.5-0.8,0.8-1.4,1.1
l2.3,4.3V67h-1.9L227.2,63.1z M225.2,61.7h1.8c0.5,0,1-0.1,1.4-0.5c0.3-0.3,0.5-0.8,0.5-1.2c0-0.5-0.1-0.9-0.5-1.3
c-0.4-0.3-0.9-0.5-1.4-0.5h-1.9L225.2,61.7z" />
<path id="Path_567" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#ffffff;" d="
M241,64.6h-4l-0.8,2.4h-1.8l3.9-10.2h1.6l3.9,10.2h-1.9L241,64.6z M237.6,63.2h3L239,59L237.6,63.2z" />
<path id="Path_568" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#ffffff;" d="
M255.9,67h-1.8l-4.6-7.3V67h-1.8V56.8h1.8l4.6,7.3v-7.3h1.8L255.9,67z" />
<path id="Path_569" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#ffffff;" d="
M266.2,64.4c0-0.4-0.2-0.8-0.5-1c-0.5-0.3-1.1-0.6-1.7-0.7c-0.7-0.2-1.3-0.5-2-0.8c-0.9-0.4-1.4-1.3-1.4-2.3c0-0.8,0.4-1.6,1-2
c0.8-0.6,1.7-0.8,2.6-0.8c0.7,0,1.3,0.1,1.9,0.4c0.5,0.2,1,0.6,1.3,1.1c0.3,0.5,0.5,1,0.5,1.6h-1.8c0-0.5-0.2-0.9-0.5-1.3
c-0.4-0.3-0.9-0.5-1.4-0.5c-0.5,0-1,0.1-1.4,0.4c-0.3,0.2-0.5,0.6-0.5,1c0,0.4,0.2,0.7,0.5,0.9c0.5,0.3,1.1,0.6,1.7,0.7
c0.7,0.2,1.3,0.5,1.9,0.8c0.4,0.3,0.8,0.6,1.1,1c0.2,0.4,0.3,0.9,0.3,1.4c0,0.8-0.3,1.6-1,2c-0.8,0.5-1.7,0.8-2.7,0.8
c-0.7,0-1.4-0.1-2-0.4c-0.6-0.2-1.1-0.6-1.4-1.1c-0.3-0.5-0.5-1.1-0.5-1.7h1.8c0,0.5,0.2,1,0.6,1.3c0.5,0.3,1.1,0.5,1.7,0.5
c0.5,0,1-0.1,1.4-0.4C266,65.1,266.2,64.8,266.2,64.4" />
<path id="Path_570" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#ffffff;" d="
M278.3,62.7h-4.1V67h-1.8V56.8h6.5v1.4h-4.7v3h4.1L278.3,62.7z" />
<path id="Path_571" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#ffffff;" d="
M289.2,62.5H285v3.1h4.9V67h-6.7V56.8h6.6v1.4H285v2.8h4.2L289.2,62.5z" />
<path id="Path_572" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#ffffff;" d="
M298,63.1h-2V67h-1.8V56.8h3.6c1-0.1,1.9,0.2,2.7,0.8c0.7,0.6,1,1.4,1,2.3c0,0.6-0.2,1.2-0.5,1.7c-0.4,0.5-0.8,0.8-1.4,1.1l2.3,4.3
V67H300L298,63.1z M296,61.7h1.8c0.5,0,1-0.1,1.4-0.5c0.3-0.3,0.5-0.8,0.5-1.2c0-0.5-0.1-0.9-0.5-1.3c-0.4-0.3-0.9-0.5-1.4-0.5H296
L296,61.7z" />
</g>
</svg>
Side by side

After

Width:  |  Height:  |  Size: 12 KiB

121
docs/media/scoutinscience.svg Normal file
View file

@ -0,0 +1,121 @@
<?xml version="1.0" encoding="utf-8"?>
<!-- Generator: Adobe Illustrator 26.2.1, SVG Export Plug-In . SVG Version: 6.00 Build 0) -->
<svg version="1.1" id="Group_805" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" viewBox="0 0 369.5 67.2" style="enable-background:new 0 0 369.5 67.2;" xml:space="preserve">
<style type="text/css">
.st0{clip-path:url(#SVGID_00000084499246685778113730000005394386986623376315_);fill:#14C9C0;}
.st1{clip-path:url(#SVGID_00000084499246685778113730000005394386986623376315_);fill:#161615;}
</style>
<g>
<defs>
<rect id="SVGID_1_" width="369.5" height="67.2" />
</defs>
<clipPath id="SVGID_00000094609971218746498830000013677106623865950620_">
<use xlink:href="#SVGID_1_" style="overflow:visible;" />
</clipPath>
<path id="Path_549" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#14C9C0;" d="
M14.4,22.4l6.1-0.5c-0.3-2.3-1.7-4.4-3.7-5.6c-2-1.2-4.4-1.8-6.8-1.6c-2.4,0-4.6,0.8-6.5,2.2c-1.9,1.4-3,3.6-2.9,5.9
c-0.1,2.2,1,4.3,2.9,5.5c2,1.2,4.2,2.1,6.5,2.7c3.4,1.1,5.1,2.1,5.1,3.2c0,1-0.5,1.9-1.4,2.4c-0.9,0.6-1.9,0.9-3,0.8
c-1.1,0.1-2.1-0.2-3.1-0.7c-0.9-0.4-1.4-1.3-1.5-2.3L0,34.7c0.1,2.4,1.5,4.6,3.6,5.8c2.2,1.3,4.7,2,7.3,1.9c2.5,0,5-0.7,7.1-2.1
c2-1.3,3.2-3.6,3.2-6c0-2.1-1-4.1-2.8-5.2c-2-1.1-4-2-6.2-2.6c-1.3-0.4-2.5-0.9-3.8-1.4c-1.1-0.6-1.7-1.4-1.7-2.2
c0-0.9,0.4-1.8,1.1-2.4c0.7-0.6,1.6-0.9,2.5-0.8c0.9-0.1,1.8,0.2,2.6,0.6C13.8,20.7,14.3,21.5,14.4,22.4 M44.7,34.3
c-3.2,3-8.1,2.9-11.2-0.2c-3.1-3.1-3.2-8.2,0-11.4c0,0,0,0,0,0c3.1-3.1,8.1-3.2,11.2-0.2l3.9-4.2c-1.3-1.2-2.7-2.1-4.4-2.8
c-1.6-0.6-3.3-0.9-5-0.9c-7.6,0-13.8,6.2-13.8,13.8c0,7.6,6.2,13.8,13.8,13.8c1.7,0,3.4-0.3,5-0.9c1.6-0.6,3.1-1.6,4.4-2.8
L44.7,34.3z M124.6,20.5h7.8v-5.4h-7.8V0l-6.1,1.2v40.4h6.1L124.6,20.5z" />
<path id="Path_550" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#14C9C0;" d="
M143.7,19.2L143.7,19.2l0-4.2l-6.1,1.2v3.5h0v21.9h6.1V19.2z" />
<path id="Path_551" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#14C9C0;" d="
M243.6,19.2L243.6,19.2l0-4.1l-6.1,1.2v3.5h0v21.9h6.1L243.6,19.2z" />
<path id="Path_552" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#14C9C0;" d="
M110.7,29V15.1h0V15l-6.1,1.2v3.5h0v9.6c0,4-3.2,7.2-7.2,7.2c-4,0-7.2-3.2-7.2-7.2v-1.1l-6.1,1.2c0.3,7.3,6.4,13.1,13.7,12.8
C105.1,42,110.7,36.1,110.7,29 M84.2,19.8l6.1-1.2v-3.5l0,0V15l-6.1,1.2V19.8L84.2,19.8L84.2,19.8z" />
<path id="Path_553" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#14C9C0;" d="
M369.5,30.7c0.1-2.1-0.2-4.2-0.7-6.3c-0.7-2.1-1.8-4.1-3.3-5.7c-5.6-5.5-14.5-5.5-20,0c-2.6,2.5-4,6-4,9.6c-0.1,4.1,1.8,7.9,5,10.4
c1.4,1.1,2.9,2,4.6,2.5c1.7,0.6,3.5,0.9,5.3,0.9c4.7,0.1,9.2-2,12-5.7l-4.8-3.1c-1.1,1.4-2.6,2.4-4.3,3c-1.6,0.6-3.3,0.7-5,0.5
c-1.6-0.2-3.2-0.9-4.5-1.9c-1.3-1.1-2.3-2.5-2.7-4.2L369.5,30.7z M363.3,25.8h-16c0.5-1.7,1.6-3.1,3-4.1c1.4-1.1,3.2-1.7,5-1.7
c1.8,0,3.5,0.6,4.9,1.6C361.7,22.6,362.8,24.1,363.3,25.8 M323.8,34.1c-3.1-3.1-3.2-8.2,0-11.4c0,0,0,0,0,0
c3.1-3.1,8.1-3.2,11.2-0.2l3.9-4.2c-1.3-1.2-2.7-2.1-4.4-2.8c-1.6-0.6-3.3-0.9-5-0.9c-7.6,0-13.8,6.2-13.8,13.8c0,0,0,0,0,0
c0,7.6,6.2,13.8,13.8,13.8c1.7,0,3.4-0.3,5-0.9c1.6-0.6,3.1-1.6,4.4-2.8l-3.9-4.2C331.9,37.3,326.9,37.2,323.8,34.1 M303.9,41.6
h6.1v-14c0.1-2.8-0.7-5.6-2.2-7.9c-1.3-2-3.2-3.5-5.4-4.3c-2.1-0.9-4.4-1.1-6.7-0.7c-2.3,0.3-4.4,1.3-6.1,2.9V15l-6.1,1.2v0.4h0v25
h6.1v-14c-0.1-2,0.8-3.9,2.3-5.3c2.8-2.3,7-2.3,9.8,0c1.5,1.3,2.4,3.3,2.3,5.3L303.9,41.6z M255.4,30.7h22.3
c0.1-2.1-0.2-4.2-0.7-6.3c-0.7-2.1-1.8-4.1-3.3-5.7c-5.6-5.5-14.5-5.5-20,0c-2.6,2.5-4,6-4,9.6c-0.1,4.1,1.8,7.9,5,10.4
c1.4,1.1,2.9,2,4.6,2.5c1.7,0.6,3.5,0.9,5.3,0.9c4.7,0.1,9.2-2,12-5.7l-4.8-3.1c-1.1,1.4-2.6,2.4-4.3,3c-1.6,0.6-3.3,0.7-5,0.5
c-1.6-0.2-3.2-0.9-4.5-1.9C256.8,33.8,255.8,32.4,255.4,30.7 M255.6,25.8c0.5-1.7,1.6-3.1,3-4.1c1.4-1.1,3.2-1.7,5-1.7
c1.8,0,3.5,0.6,4.9,1.6c1.5,1,2.6,2.4,3,4.2H255.6z M217.1,34.1c-3.1-3.1-3.2-8.2,0-11.4c0,0,0,0,0,0c3.1-3.1,8.1-3.2,11.2-0.2
l3.9-4.2c-1.3-1.2-2.7-2.1-4.4-2.8c-1.6-0.6-3.3-0.9-5-0.9c-7.6,0-13.8,6.2-13.8,13.8c0,7.6,6.2,13.8,13.8,13.8
c1.7,0,3.4-0.3,5-0.9c1.6-0.6,3.1-1.6,4.4-2.8l-3.9-4.2C225.2,37.3,220.2,37.2,217.1,34.1 M190.4,22.8c0-0.9,0.4-1.8,1.1-2.4
c0.7-0.6,1.6-0.9,2.5-0.8c0.9-0.1,1.8,0.2,2.6,0.6c0.8,0.5,1.3,1.3,1.5,2.2l6.1-0.5c-0.3-2.3-1.7-4.4-3.7-5.6
c-2-1.2-4.4-1.8-6.8-1.6c-2.4,0-4.6,0.8-6.5,2.2c-1.9,1.4-3,3.6-2.9,5.9c-0.1,2.2,1,4.3,2.9,5.5c2,1.2,4.2,2.1,6.5,2.7
c3.4,1.1,5.1,2.1,5.1,3.2c0,1-0.5,1.9-1.4,2.4c-0.9,0.6-1.9,0.9-3,0.8c-1.1,0.1-2.1-0.2-3.1-0.7c-0.9-0.4-1.4-1.3-1.5-2.3l-6.1,0.2
c0.1,2.4,1.5,4.6,3.6,5.8c2.2,1.3,4.7,2,7.3,1.9c2.5,0,5-0.7,7.1-2.1c2-1.3,3.2-3.6,3.2-6c0-2.1-1-4.1-2.8-5.2c-2-1.1-4-2-6.2-2.6
c-1.3-0.4-2.5-0.9-3.8-1.4C191,24.4,190.4,23.6,190.4,22.8 M172,41.7h6.1v-14c0.1-2.8-0.7-5.6-2.2-7.9c-1.3-2-3.2-3.5-5.4-4.3
c-2.1-0.9-4.4-1.1-6.7-0.7c-2.3,0.3-4.4,1.3-6.1,2.9V15l-6.1,1.2v0.1h0v25.3h6.1v-14c-0.1-2,0.8-3.9,2.3-5.3c2.8-2.3,7-2.3,9.8,0
c1.5,1.3,2.4,3.3,2.3,5.3L172,41.7z" />
<path id="Path_554" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#161615;" d="
M94.5,25.3l-1-5.2l-14.1,2.8l0.3,1.4l-1.5,0.3c-0.6-2.3-1.9-4.3-3.5-5.9c-5.4-5.4-14.1-5.4-19.5,0c-2.6,2.6-4.1,6.1-4.1,9.8
c0,7.6,6.1,13.8,13.7,13.8c3.7,0,7.2-1.5,9.8-4.1c2.6-2.5,4.1-6.1,4.1-9.7c0-0.5,0-1-0.1-1.6l1.5-0.3l0.3,1.5L94.5,25.3z
M72.4,28.4c0.1,1.9-0.6,3.8-1.9,5.3c-3,3.1-8.1,3.2-11.2,0.2c-0.1-0.1-0.1-0.1-0.2-0.2c-1.3-1.5-1.9-3.3-1.9-5.3
c-0.1-1.9,0.6-3.8,1.9-5.3c1.5-1.6,3.5-2.5,5.7-2.4c2.1-0.1,4.2,0.8,5.6,2.4C71.8,24.6,72.4,26.5,72.4,28.4" />
<path id="Path_555" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#161615;" d="
M71.2,64.6h-4L66.4,67h-1.8l3.9-10.2h1.6L73.9,67h-1.9L71.2,64.6z M67.8,63.2h3L69.2,59L67.8,63.2z" />
<rect id="Rectangle_1378" x="78.1" y="56.8" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#161615;" width="1.8" height="10.2" />
<rect id="Rectangle_1379" x="84.4" y="62" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#161615;" width="3.7" height="1.4" />
<path id="Path_556" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#161615;" d="M92.5,67
V56.8H96c0.9-0.1,1.9,0.2,2.6,0.7c0.6,0.5,1,1.3,0.9,2.1c0,0.5-0.1,0.9-0.4,1.3c-0.3,0.4-0.7,0.7-1.1,0.9c0.5,0.1,1,0.4,1.3,0.8
c0.3,0.4,0.5,1,0.5,1.5c0.1,0.8-0.3,1.7-0.9,2.2c-0.8,0.6-1.7,0.8-2.6,0.8L92.5,67z M94.3,61.1H96c0.5,0,0.9-0.1,1.3-0.4
c0.3-0.3,0.5-0.7,0.5-1.1c0-0.4-0.1-0.8-0.4-1.1c-0.4-0.3-0.9-0.4-1.3-0.3h-1.7V61.1z M94.3,62.4v3.2h2c0.5,0,0.9-0.1,1.3-0.4
c0.6-0.6,0.6-1.7,0-2.3c-0.3-0.3-0.7-0.5-1.1-0.5L94.3,62.4z" />
<path id="Path_557" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#161615;" d="
M110.2,64.6h-4l-0.8,2.4h-1.9l3.9-10.2h1.6l3.9,10.2H111L110.2,64.6z M106.7,63.2h3l-1.5-4.2L106.7,63.2z" />
<path id="Path_558" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#161615;" d="
M122.3,64.4c0-0.4-0.2-0.8-0.5-1c-0.5-0.3-1.1-0.6-1.7-0.7c-0.7-0.2-1.3-0.5-2-0.8c-0.9-0.4-1.4-1.3-1.4-2.3c0-0.8,0.4-1.6,1-2
c0.8-0.6,1.7-0.8,2.6-0.8c0.7,0,1.3,0.1,1.9,0.4c0.5,0.2,1,0.6,1.3,1.1c0.3,0.5,0.5,1,0.5,1.6h-1.8c0-0.5-0.2-0.9-0.5-1.3
c-0.4-0.3-0.9-0.5-1.4-0.5c-0.5,0-1,0.1-1.4,0.4c-0.3,0.2-0.5,0.6-0.5,1c0,0.4,0.2,0.7,0.5,0.9c0.5,0.3,1.1,0.6,1.7,0.7
c0.7,0.2,1.3,0.5,1.9,0.8c0.4,0.3,0.8,0.6,1.1,1c0.2,0.4,0.3,0.9,0.3,1.4c0,0.8-0.3,1.6-1,2c-0.8,0.5-1.7,0.8-2.7,0.8
c-0.7,0-1.4-0.1-2-0.4c-0.6-0.2-1.1-0.6-1.4-1.1c-0.3-0.5-0.5-1.1-0.5-1.7h1.8c0,0.5,0.2,1,0.6,1.3c0.5,0.3,1.1,0.5,1.7,0.5
c0.5,0,1-0.1,1.4-0.4C122.1,65.1,122.3,64.8,122.3,64.4" />
<path id="Path_559" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#161615;" d="
M134.4,62.5h-4.2v3.1h4.9V67h-6.7V56.8h6.6v1.4h-4.9v2.8h4.2L134.4,62.5z" />
<path id="Path_560" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#161615;" d="
M139.5,67V56.8h3c0.8,0,1.7,0.2,2.4,0.6c0.7,0.4,1.3,1,1.6,1.7c0.4,0.8,0.6,1.7,0.6,2.5v0.5c0,0.9-0.2,1.8-0.6,2.6
c-0.4,0.7-0.9,1.3-1.6,1.7c-0.8,0.4-1.6,0.6-2.5,0.6L139.5,67z M141.3,58.2v7.4h1.2c0.8,0.1,1.6-0.3,2.1-0.9
c0.5-0.7,0.8-1.6,0.8-2.5v-0.6c0.1-0.9-0.2-1.8-0.7-2.5c-0.5-0.6-1.3-0.9-2.1-0.9L141.3,58.2z" />
<path id="Path_561" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#161615;" d="
M165.2,58.2H162V67h-1.8v-8.8h-3.2v-1.4h8.1V58.2z" />
<path id="Path_562" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#161615;" d="
M175.4,62.5h-4.2v3.1h4.9V67h-6.7V56.8h6.6v1.4h-4.9v2.8h4.2L175.4,62.5z" />
<path id="Path_563" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#161615;" d="
M188.2,63.7c0,1-0.5,1.9-1.2,2.6c-0.8,0.6-1.8,1-2.8,0.9c-0.8,0-1.5-0.2-2.2-0.6c-0.6-0.4-1.1-1-1.4-1.6c-0.4-0.8-0.5-1.6-0.5-2.5
v-1c0-0.9,0.2-1.7,0.5-2.6c0.3-0.7,0.8-1.3,1.5-1.7c0.7-0.4,1.4-0.6,2.2-0.6c1,0,2,0.3,2.7,0.9c0.7,0.7,1.2,1.6,1.2,2.6h-1.8
c0-0.6-0.2-1.2-0.6-1.6c-0.4-0.4-1-0.5-1.5-0.5c-0.7,0-1.4,0.3-1.8,0.8c-0.5,0.7-0.7,1.6-0.6,2.5v0.9c-0.1,0.9,0.2,1.8,0.6,2.5
c0.4,0.6,1,0.9,1.7,0.9c0.6,0,1.1-0.1,1.6-0.5c0.4-0.4,0.6-1,0.7-1.6L188.2,63.7z" />
<path id="Path_564" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#161615;" d="
M200.8,67H199v-4.5h-4.6V67h-1.8V56.8h1.8v4.3h4.6v-4.3h1.8L200.8,67z" />
<path id="Path_565" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#161615;" d="
M219.2,58.2H216V67h-1.8v-8.8h-3.2v-1.4h8.1V58.2z" />
<path id="Path_566" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#161615;" d="
M227.2,63.1h-2V67h-1.8V56.8h3.6c1-0.1,1.9,0.2,2.7,0.8c0.7,0.6,1,1.4,1,2.3c0,0.6-0.2,1.2-0.5,1.7c-0.4,0.5-0.8,0.8-1.4,1.1
l2.3,4.3V67h-1.9L227.2,63.1z M225.2,61.7h1.8c0.5,0,1-0.1,1.4-0.5c0.3-0.3,0.5-0.8,0.5-1.2c0-0.5-0.1-0.9-0.5-1.3
c-0.4-0.3-0.9-0.5-1.4-0.5h-1.9L225.2,61.7z" />
<path id="Path_567" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#161615;" d="
M241,64.6h-4l-0.8,2.4h-1.8l3.9-10.2h1.6l3.9,10.2h-1.9L241,64.6z M237.6,63.2h3L239,59L237.6,63.2z" />
<path id="Path_568" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#161615;" d="
M255.9,67h-1.8l-4.6-7.3V67h-1.8V56.8h1.8l4.6,7.3v-7.3h1.8L255.9,67z" />
<path id="Path_569" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#161615;" d="
M266.2,64.4c0-0.4-0.2-0.8-0.5-1c-0.5-0.3-1.1-0.6-1.7-0.7c-0.7-0.2-1.3-0.5-2-0.8c-0.9-0.4-1.4-1.3-1.4-2.3c0-0.8,0.4-1.6,1-2
c0.8-0.6,1.7-0.8,2.6-0.8c0.7,0,1.3,0.1,1.9,0.4c0.5,0.2,1,0.6,1.3,1.1c0.3,0.5,0.5,1,0.5,1.6h-1.8c0-0.5-0.2-0.9-0.5-1.3
c-0.4-0.3-0.9-0.5-1.4-0.5c-0.5,0-1,0.1-1.4,0.4c-0.3,0.2-0.5,0.6-0.5,1c0,0.4,0.2,0.7,0.5,0.9c0.5,0.3,1.1,0.6,1.7,0.7
c0.7,0.2,1.3,0.5,1.9,0.8c0.4,0.3,0.8,0.6,1.1,1c0.2,0.4,0.3,0.9,0.3,1.4c0,0.8-0.3,1.6-1,2c-0.8,0.5-1.7,0.8-2.7,0.8
c-0.7,0-1.4-0.1-2-0.4c-0.6-0.2-1.1-0.6-1.4-1.1c-0.3-0.5-0.5-1.1-0.5-1.7h1.8c0,0.5,0.2,1,0.6,1.3c0.5,0.3,1.1,0.5,1.7,0.5
c0.5,0,1-0.1,1.4-0.4C266,65.1,266.2,64.8,266.2,64.4" />
<path id="Path_570" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#161615;" d="
M278.3,62.7h-4.1V67h-1.8V56.8h6.5v1.4h-4.7v3h4.1L278.3,62.7z" />
<path id="Path_571" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#161615;" d="
M289.2,62.5H285v3.1h4.9V67h-6.7V56.8h6.6v1.4H285v2.8h4.2L289.2,62.5z" />
<path id="Path_572" style="clip-path:url(#SVGID_00000094609971218746498830000013677106623865950620_);fill:#161615;" d="
M298,63.1h-2V67h-1.8V56.8h3.6c1-0.1,1.9,0.2,2.7,0.8c0.7,0.6,1,1.4,1,2.3c0,0.6-0.2,1.2-0.5,1.7c-0.4,0.5-0.8,0.8-1.4,1.1l2.3,4.3
V67H300L298,63.1z M296,61.7h1.8c0.5,0,1-0.1,1.4-0.5c0.3-0.3,0.5-0.8,0.5-1.2c0-0.5-0.1-0.9-0.5-1.3c-0.4-0.3-0.9-0.5-1.4-0.5H296
L296,61.7z" />
</g>
</svg>
Side by side

After

Width:  |  Height:  |  Size: 12 KiB

0
docs/great_ai_example-main/src/data.ipynb → docs/simple/data.ipynb
View file

5
docs/great_ai_example-main/src/deploy.ipynb → docs/simple/deploy.ipynb
View file

@ -185,7 +185,10 @@
" X = [d.input for d in data]\n", " X = [d.input for d in data]\n",
" y_actual = [d.feedback for d in data]\n", " y_actual = [d.feedback for d in data]\n",
"\n", "\n",
" y_predicted = [d.output.labels[0].label for d in predict_domain.process_batch(X, do_not_persist_traces=True)]\n", " y_predicted = [\n",
" d.output.labels[0].label\n",
" for d in predict_domain.process_batch(X, do_not_persist_traces=True)\n",
" ]\n",
" y_actual_aligned = [p if p in a else a[0] for p, a in zip(y_predicted, y_actual)]\n", " y_actual_aligned = [p if p in a else a[0] for p, a in zip(y_predicted, y_actual)]\n",
"\n", "\n",
" import matplotlib.pyplot as plt\n", " import matplotlib.pyplot as plt\n",

0
docs/great_ai_example-main/src/train.ipynb → docs/simple/train.ipynb
View file

0
docs/simple-mag/mag/dev.txt → docs/tutorial/data/dev.txt
View file

0
docs/simple-mag/mag/test.txt → docs/tutorial/data/test.txt
View file

0
docs/simple-mag/mag/train.txt → docs/tutorial/data/train.txt
View file

214
docs/tutorial/deploy.ipynb Normal file
View file

@ -0,0 +1,214 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Harden and deploy your app\n",
"\n",
"Finally, it's time to deploy your model. But before you have to make sure you follow AI deployment [best-practices](https://se-ml.github.io/). In the past, this step was too often either the source of unexpected struggles, or worse, simply ignored.\n",
"\n",
"With `GreatAI`, it has become a matter of 2 lines of code."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[38;5;226m2022-07-09 22:38:56 | WARNING | Environment variable ENVIRONMENT is not set, defaulting to development mode ‼️\u001b[0m\n",
"\u001b[38;5;226m2022-07-09 22:38:56 | WARNING | Cannot find credentials files, defaulting to using ParallelTinyDbDriver\u001b[0m\n",
"\u001b[38;5;226m2022-07-09 22:38:56 | WARNING | The selected tracing database (ParallelTinyDbDriver) is not recommended for production\u001b[0m\n",
"\u001b[38;5;226m2022-07-09 22:38:56 | WARNING | Cannot find credentials files, defaulting to using LargeFileLocal\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:38:56 | INFO | GreatAI (v0.1.0): configured ✅\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:38:56 | INFO | 🔩 tracing_database: ParallelTinyDbDriver\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:38:56 | INFO | 🔩 large_file_implementation: LargeFileLocal\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:38:56 | INFO | 🔩 is_production: False\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:38:56 | INFO | 🔩 should_log_exception_stack: True\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:38:56 | INFO | 🔩 prediction_cache_size: 512\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:38:56 | INFO | 🔩 dashboard_table_size: 20\u001b[0m\n",
"\u001b[38;5;226m2022-07-09 22:38:56 | WARNING | You still need to check whether you follow all best practices before trusting your deployment.\u001b[0m\n",
"\u001b[38;5;226m2022-07-09 22:38:56 | WARNING | > Find out more at https://se-ml.github.io/practices\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:38:56 | INFO | Fetching cached versions of my-domain-predictor\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:38:56 | INFO | Latest version of my-domain-predictor is 5 (from versions: 0, 1, 2, 3, 4, 5)\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:38:56 | INFO | File my-domain-predictor-5 found in cache\u001b[0m\n"
]
}
],
"source": [
"from great_ai import GreatAI, use_model\n",
"from great_ai.utilities import clean\n",
"\n",
"\n",
"@GreatAI.create\n",
"@use_model(\"my-domain-predictor\")\n",
"def predict_domain(sentence, model):\n",
" inputs = [clean(sentence)]\n",
" return str(model.predict(inputs)[0])"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Trace[str]({ 'created': '2022-07-09T20:38:56.394746',\n",
" 'exception': None,\n",
" 'feedback': None,\n",
" 'logged_values': { 'arg:sentence:length': 29,\n",
" 'arg:sentence:value': 'Mountains are just big rocks.'},\n",
" 'models': [{'key': 'my-domain-predictor', 'version': 5}],\n",
" 'original_execution_time_ms': 4.999,\n",
" 'output': 'geography',\n",
" 'tags': ['predict_domain', 'online', 'development'],\n",
" 'trace_id': 'aad1f83d-a81f-4b8b-898e-d02f8076616f'})"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"predict_domain(\"Mountains are just big rocks.\")\n",
"# the original return value is under the 'output' key"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[38;5;39m2022-07-09 22:38:58 | INFO | Converting notebook to Python script\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:38:58 | INFO | Found `predict_domain` to be the GreatAI app \u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:38:58 | INFO | Uvicorn running on http://0.0.0.0:6060 (Press CTRL+C to quit)\u001b[0m\n",
"\u001b[38;5;226m2022-07-09 22:39:00 | WARNING | Environment variable ENVIRONMENT is not set, defaulting to development mode ‼️\u001b[0m\n",
"\u001b[38;5;226m2022-07-09 22:39:00 | WARNING | Cannot find credentials files, defaulting to using ParallelTinyDbDriver\u001b[0m\n",
"\u001b[38;5;226m2022-07-09 22:39:00 | WARNING | The selected tracing database (ParallelTinyDbDriver) is not recommended for production\u001b[0m\n",
"\u001b[38;5;226m2022-07-09 22:39:00 | WARNING | Cannot find credentials files, defaulting to using LargeFileLocal\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:39:00 | INFO | GreatAI (v0.1.0): configured ✅\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:39:00 | INFO | 🔩 tracing_database: ParallelTinyDbDriver\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:39:00 | INFO | 🔩 large_file_implementation: LargeFileLocal\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:39:00 | INFO | 🔩 is_production: False\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:39:00 | INFO | 🔩 should_log_exception_stack: True\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:39:00 | INFO | 🔩 prediction_cache_size: 512\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:39:00 | INFO | 🔩 dashboard_table_size: 20\u001b[0m\n",
"\u001b[38;5;226m2022-07-09 22:39:00 | WARNING | You still need to check whether you follow all best practices before trusting your deployment.\u001b[0m\n",
"\u001b[38;5;226m2022-07-09 22:39:00 | WARNING | > Find out more at https://se-ml.github.io/practices\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:39:00 | INFO | Fetching cached versions of my-domain-predictor\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:39:00 | INFO | Latest version of my-domain-predictor is 5 (from versions: 0, 1, 2, 3, 4, 5)\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:39:00 | INFO | File my-domain-predictor-5 found in cache\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:39:00 | INFO | Started server process [882179]\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:39:00 | INFO | Waiting for application startup.\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:39:00 | INFO | Application startup complete.\u001b[0m\n",
"^C\n",
"\u001b[38;5;39m2022-07-09 22:39:04 | INFO | Shutting down\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:39:04 | INFO | Waiting for application shutdown.\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:39:04 | INFO | Application shutdown complete.\u001b[0m\n",
"\u001b[38;5;39m2022-07-09 22:39:04 | INFO | Finished server process [882179]\u001b[0m\n"
]
}
],
"source": [
"!great-ai deploy.ipynb\n",
"# leave this running and open http://127.0.0.1:6060"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now that you've made sure your application is hardened enough for the intended use case, it is time to deploy it. The responsibilities of GreatAI end when it wraps your inference function and model into a production-ready service. You're given the freedom and responsibility to deploy this service. Fortunately, you (or your organisation) probably already has an established routine for deploying services.\n",
"\n",
"There are three main approaches to deploy a GreatAI service.\n",
"\n",
"### Manual deployment\n",
"\n",
"Simply run `ENVIRONMENT=production great-ai deploy.ipynb` in the command-line of a production machine.\n",
"> This is the crudest approach, however, it might be fitting for some contexts.\n",
"\n",
"### Containerised deployment\n",
"\n",
"Run the notebook directly in a container or create a service for it using your favourite orchestrator.\n",
"\n",
"```sh\n",
"docker run \\\n",
" -p 6060:6060 \\\n",
" --volume `pwd`:/app \\\n",
" --rm \\\n",
" schmelczera/great-ai deploy.ipynb\n",
"```\n",
"> You can replace ``pwd`` with the path to your code's folder.\n",
"\n",
"#### Use a Platform-as-a-Service\n",
"\n",
"Similarly to the previous approach, your code will run in a container. However, instead of manually managing it, you can just choose from a plethora of PaaS providers that take a Docker image as a source and handle the rest of the deployment.\n",
"\n",
"To this end, you can also create a custom Docker image. It is especially useful if you have third-party dependencies, such as pytorch or tensorflow.\n",
"\n",
"```Dockerfile\n",
"FROM schmelczera/great-ai:latest\n",
"\n",
"# Remove this block if you don't have a requirements.txt\n",
"COPY requirements.txt ./ \n",
"RUN pip install --no-cache-dir --requirement requirements.txt\n",
"\n",
"# If you store your models in S3 or GridFS, it may be a \n",
"# good idea to # cache them in the image so that you don't\n",
"# have to download it each time a container starts\n",
"# RUN large-file --backend s3 --secrets s3.ini --cache my-domain-predictor\n",
"\n",
"COPY . .\n",
"\n",
"CMD [\"deploy.ipynb\"]\n",
"\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### [Go back to the summary](/tutorial)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3.10.4 ('.env': venv)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.4"
},
"orig_nbformat": 4,
"vscode": {
"interpreter": {
"hash": "02dd6d3afbfa9fbbe1037d64ad9014965528a1ccad21929d6e72f466389a68ad"
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}

70
docs/tutorial/index.md Normal file
View file

@ -0,0 +1,70 @@
# Train and deploy a SOTA model
## Overview
You are going to train a field of study (domain) classifier for scientific sentences. The exact task was proposed by the [SciBERT paper](https://arxiv.org/abs/1903.10676) in which SciBERT [achieved an F1-score of 0.6571](https://paperswithcode.com/sota/sentence-classification-on-paper-field). We are going to outperform it using a trivial text classification model: a [Linear SVM](https://scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html).
We use the same synthetic dataset derived from the [Microsoft Academic Graph](https://www.microsoft.com/en-us/research/project/microsoft-academic-graph/). The dataset is [available here](https://github.com/allenai/scibert/tree/master/data/text_classification/mag).
## Objectives
1. You will see how the `great_ai.utilities` can integrate into your Data Science workflow.
2. You will use `great_ai.large_file` to version and store your trained model
3. You will use `GreatAI` to prepare your model for a robust and responsible deployment
!!! success
You are ready to start the tutorial. Feel free to come back to the [summary](#summary) section once you're finished.
<div style="display: flex; justify-content: space-evenly;" markdown>
[:fontawesome-solid-chart-simple: Train it](train.ipynb){ .md-button .md-button--primary }
[:material-cloud-tags: Deploy it](deploy.ipynb){ .md-button .md-button--secondary }
</div>
## Summary
### The [training notebook](train.ipynb)
We load and preprocess the dataset while relying on `great_ai.utilities.clean` for the heavy-lifting. Additionally, the preprocessing is parallelised using `great_ai.utilities.simple_parallel_map`.
After training and evaluating a model, it is exported using `great_ai.save_model`.
??? tip "Using the cloud"
To store your model remotely, you need to set your credentials before calling `save_model`.
For example, to use [AWS S3](https://aws.amazon.com/s3/):
```python
from great_ai.large_file import LargeFileS3
LargeFileS3.configure(
aws_region_name='eu-west-2',
aws_access_key_id='MY_AWS_ACCESS_KEY',
aws_secret_access_key='MY_AWS_SECRET_KEY',
large_files_bucket_name='my_bucket_for_models'
)
from great_ai import save_model
save_model(model, key='my-domain-predictor')
```
### The [deployment notebook](deploy.ipynb)
We create an inference function that can be hardened by wrapping it in a `great_ai.GreatAI` instance.
```python
from great_ai import GreatAI, use_model
from great_ai.utilities import clean
@GreatAI.create
@use_model('my-domain-predictor') #(1)
def predict_domain(sentence, model):
inputs = [clean(sentence)]
return str(model.predict(inputs)[0])
```
1. `@use_model` loads and injects your model into the `predict_domain` function's `model` argument.
You can freely reference it knowing that it is always given to the function.
Finally, we deploy the model, inference function, and the GreatAI wrapping all of these. For that we either use: `great-ai deploy.ipynb` or build a Docker image.

318
docs/tutorial/train.ipynb Normal file
View file

File diff suppressed because one or more lines are too long

0
docs/tutorials.md
View file

19
mkdocs.yaml
View file

@ -9,6 +9,8 @@ edit_uri: edit/main/docs/
theme: theme:
name: "material" name: "material"
custom_dir: docs/overrides custom_dir: docs/overrides
homepage: https://great-ai.scoutinscience.com
favicon: media/favicon.ico
features: features:
- content.code.annotate - content.code.annotate
- content.tooltips - content.tooltips
@ -33,10 +35,6 @@ plugins:
- search - search
- mkdocs-jupyter: - mkdocs-jupyter:
include_source: true include_source: true
# allow_errors: false
# execute: false
# execute_ignore: "my-secret-files/*.ipynb"
# theme: dark
markdown_extensions: markdown_extensions:
- pymdownx.highlight: - pymdownx.highlight:
@ -62,8 +60,15 @@ markdown_extensions:
nav: nav:
- Overview: index.md - Overview: index.md
- tutorials.md - Tutorial:
- How-To Guides: how-to-guides.md - tutorial/index.md
- tutorial/train.ipynb
- tutorial/deploy.ipynb
- User Guides:
- Simple AI lifecycle with classification:
- "Step 1: data": simple/data.ipynb
- "Step 2: train": simple/train.ipynb
- "Step 3: deploy": simple/deploy.ipynb
- reference.md - reference.md
- explanation.md - explanation.md
- Notebook page: simple-mag/train.ipynb

0
docs/example_secrets.ini → tests/large_file/data/example_secrets.ini
View file

2
tests/large_file/test_large_file.py
View file

@ -110,7 +110,7 @@ def test_initialized_with_file(client: Any) -> None:
boto3.client = Mock(return_value=s3) boto3.client = Mock(return_value=s3)
LargeFileS3.configure_credentials_from_file(PATH / "../../docs/example_secrets.ini") LargeFileS3.configure_credentials_from_file(PATH / "data/example_secrets.ini")
lf = LargeFileS3("test-file") lf = LargeFileS3("test-file")
boto3.client.assert_called_once_with( boto3.client.assert_called_once_with(