CRISP-DM – Modeling
Abstracciones para construir, entrenar y evaluar el modelo LSTM usado en la etapa de Modeling.
build_lstm_modelcrea la arquitectura base.train_lstm_modelincluye callbacks (early stopping y checkpoints).evaluate_lstm_modelresume el desempeño del modelo entrenado.
Instala localmente con:
pip install -e packages/modeling
1 maintainer
Metadata
1 maintainer
Release files for crispdm-modeling 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| crispdm_modeling-0.1.0.tar.gz | 3.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| crispdm_modeling-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.7 kB
Release files / crispdm_modeling-0.1.0.tar.gz
| Download URL | crispdm_modeling-0.1.0.tar.gz |
|---|---|
| Size | 3.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.11.14
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Release files / crispdm_modeling-0.1.0-py3-none-any.whl
| Download URL | crispdm_modeling-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.14
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