semvec/pypi-packages huggingface dataset:
symptom-analysis 1.0.2
A custom Python library for symptom analysis
Requires Python: >=3.6

# Symptom Analysis Library

Created for the purpose of ease extraction and use of the library for the purpose of project

##Features include
processing data efficiently.
Analyses the data with given symptom data.

## How to Install

```bash
pip install symptom_analysis

view at:
    https://pypi.org/project/symptom-analysis/1.0.0/
    https://test.pypi.org/project/symptom-analysis/1.0.0/
    https://pypi.org/project/symptom-analysis/1.0.1/
    
Date: 12-03
previous version of python library had less symptoms. 
New library has a set of known symptoms to check

Date: 13-03
Import functions tested successfully
clscurves 0.4.0
Compute and plot bootstrapped performance curves for classification problems.
Requires Python: <3.13,>=3.10.0

# classification-curves

A library for computing and plotting bootstrapped metrics (ROC curves,
Precision-Recall curves, etc.) to evaluate the performance of a classification
model.

## Example
```python
mg = MetricsGenerator(
    predictions_df,
    label_column="label",
    score_column="score",
    weight_column="weight",
    score_is_probability=False,
    reverse_thresh=False,
    num_bootstrap_samples=20,
)

mg.plot_pr(
    op_value=0.1,
    bootstrapped=True,
    bootstrap_alpha=0.05,
)
mg.plot_roc()
```

![Example PR curve](docs/img/pr_curve_bootstrapped.png)
![Example ROC curve](docs/img/roc_curve.png)