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توضیحات

It's pronounced accura-see. For spaCy models.

ویژگی	مقدار
سیستم عامل	-
نام فایل	accuracy-0.1.1
نام	accuracy
نسخه کتابخانه	0.1.1
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Vincent D. Warmerdam
ایمیل نویسنده	-
آدرس صفحه اصلی	https://koaning.github.io/accuracy/
آدرس اینترنتی	https://pypi.org/project/accuracy/
مجوز	-

<img src="https://github.com/koaning/accuraCy/raw/main/icon.png" width=175 height=175 align="right"> # accuraCy > It's pronounced "accura-see". For spaCy models. The goal of this project is to generate reports for [spaCy](https://spacy.io/) models. ## what it does The goal of `accuraCy` is to offer static reports for spaCy models that help users make better decisions on how the models can be used. At the moment the project supports reports for threshold values for classification. Here's a preview of what to expect: ![](https://raw.githubusercontent.com/koaning/accuraCy/main/gif.gif) There are two kinds of charts. 1. The first kind is a density chart. This chart shows the distribution of confidence scores for a given class. The blue area represents documents that had the tag assigned to the class. The orange area represents documents that didn't. 2. The second kind is a line chart that demonstrates the accuracy, precision and recall values for a given confidence threshold. It's an interactive chart and you can explore the values by hovering over the chart. ## install You can install the latest version from git. ``` python -m pip install "accuracy @ git+https://github.com/koaning/accuracy.git" ``` ## usage The `accuracy` project provides a command line interface that can generate reports. The full CLI can also be explored via the `--help` flag. ``` > python -m accuracy --help Usage: python -m accuracy [OPTIONS] COMMAND [ARGS]... It's pronounced 'accura-see'. For spaCy models. Options: --help Show this message and exit. Commands: report Generate a model report. version Show version number. ``` ### `accuracy report` The most important command is the `report` command. You'd typically use it via a command similar to: ``` > python -m accuracy report training/model-best/ corpus/train.spacy corpus/dev.spacy Loading model at training/model-best Running model on training data... Running model on development data... Generating Charts ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00 Done! You can view the report via; python -m http.server --directory reports PORT ``` This will generate a folder, typically called "reports", that contains a full dashboard for the trained spaCy model found in `training/model-best`. The CLI has a few configurable settings: ```text Arguments: [MODEL_PATH] Path to spaCy model [TRAIN_PATH] Path to training data [DEV_PATH] Path to development data [FOLDER_OUT] Output folder for reports [default: reports] Options: --classes TEXT Comma-separated string of classes to use --help Show this message and exit. ```

نیازمندی

مقدار	نام
>=3.1.1	Jinja2
>=4.2.0	altair
>=0.2.15	clumper
>=10.3.0	rich
>=1.0.0	scikit-learn
>=3.0.0	spacy
>=0.3.0	typer
>=3.1.1	Jinja2
>=4.2.0	altair
>=0.2.15	clumper
>=10.3.0	rich
>=1.0.0	scikit-learn
>=3.0.0	spacy
>=0.3.0	typer
>=3.1.1	Jinja2
>=4.2.0	altair
>=21.0.0	black
>=0.2.15	clumper
>=3.6.0	flake8
>=1.5.0	interrogate
>=2.17.0	pre-commit
>=4.0.2	pytest
>=10.3.0	rich
>=1.0.0	scikit-learn
>=3.0.0	spacy
>=0.3.0	typer

نحوه نصب

نصب پکیج whl accuracy-0.1.1:

pip install accuracy-0.1.1.whl

نصب پکیج tar.gz accuracy-0.1.1:

pip install accuracy-0.1.1.tar.gz