Izza
Izza is my personal data science and machine learning toolbox.
There is mainly personal function for data visualisation:
| function name | presentation |
|---|---|
| pca_visualisation | a pca visualtion (2 components) |
| missingData | a tables showing missing data by features |
| camembert_plot | a camembert plot |
| kohohen maps | a kohohen maps with percentage of target class by neuron |
| activation_frequencies | activation frequencies for a kohohen map |
There is methods to do model evaluation :
| function name | presentation |
|---|---|
| fun_precision | precision at a determined percentage using predicted probabilities |
| fun_recall | recall at a determined percentage using predicted probabilities |
| f_macro_score | scorer allowing to find whether some clusters contain enough precision and recall for the target class |
| precision_macro_score | scorer allowing to find whether some clusters contain enough precision for the target class |
| recall_macro_score | scorer allowing to find whether some clusters contain enough recall for the target class |
| viable_clusters | function allowing to know the interessing clusters found using the f_macro score. |
1 maintainer
Metadata
1 maintainer
Release files for izza 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| izza-0.4.0.tar.gz | 11.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| izza-0.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.7 kB
Release files / izza-0.4.0.tar.gz
| Download URL | izza-0.4.0.tar.gz |
|---|---|
| Size | 11.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
| Uploaded via |
poetry/1.1.5 CPython/3.9.0 Darwin/19.6.0
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Release files / izza-0.4.0-py3-none-any.whl
| Download URL | izza-0.4.0-py3-none-any.whl |
|---|---|
| Size | 12.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a7e839b86e7c29c602e52943409e42652b10da95f787163b28f64ea4ca3ba26a
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.5 CPython/3.9.0 Darwin/19.6.0
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