Merge pull request #25 from Alex-Lekov/develop

v1.1.25

CHANGELOG.md

@@ -5,6 +5,22 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
 
 
+## [1.2.25]
+### Fix
+- Fix save & load in AutoML
+
+### ADD
+- Metod .score() and .fit_score() in Models
+- Class CrossValidation() examples in ./examples/03_Models.ipynb
+
+
+## [1.2.24]
+### Fix
+- same Fixses in AutoML
+### ADD
+- New info in Readme.md
+
+
 ## [1.2.23]
 
 A big update that changes the logic of work

Dockerfile

@@ -1,4 +1,4 @@
-FROM python:3.9-slim
+FROM python:3.9-buster
 
 # Uncomment the following COPY line and the corresponding lines in the `RUN` command if you wish to
 # include your requirements in the image itself. It is suggested that you only do this if your

README.md

@@ -51,25 +51,36 @@ Classifier:
 ```python
 from automl_alex import AutoMLClassifier
 
-model = AutoMLClassifier(X_train, y_train, X_test,)
-predict_test, predict_train = model.fit_predict(timeout=2000,)
+model = AutoMLClassifier()
+model = model.fit(X_train, y_train, timeout=600)
+predicts = model.predict(X_test)
 ```
 
 Regression:
 ```python
 from automl_alex import AutoMLRegressor
 
-model = AutoMLRegressor(X_train, y_train, X_test,)
-predict_test, predict_train = model.fit_predict(timeout=2000,)
+model = AutoMLRegressor()
+model = model.fit(X_train, y_train, timeout=600)
+predicts = model.predict(X_test)
+```
+
+DataPrepare:
+```python
+from automl_alex import DataPrepare
+
+de = DataPrepare()
+X_train = de.fit_transform(X_train)
+X_test = de.transform(X_test)
 ```
 
 More examples in the folder ./examples:
 
 - [01_Quick_Start.ipynb](https://github.com/Alex-Lekov/AutoML_Alex/blob/master/examples/01_Quick_Start.ipynb)  [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/Alex-Lekov/AutoML_Alex/blob/master/examples/01_Quick_Start.ipynb)
-- [02_Models.ipynb](https://github.com/Alex-Lekov/AutoML_Alex/blob/master/examples/02_Models.ipynb)  [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/Alex-Lekov/AutoML_Alex/blob/master/examples/02_Models.ipynb)
-- [03_Data_Cleaning_and_Encoding_(DataBunch).ipynb](https://github.com/Alex-Lekov/AutoML_Alex/blob/master/examples/03_Data_Cleaning_and_Encoding_(DataBunch).ipynb)  [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/Alex-Lekov/AutoML_Alex/blob/master/examples/03_Data_Cleaning_and_Encoding_(DataBunch).ipynb)
+- [02_Data_Cleaning_and_Encoding_(DataPrepare).ipynb](https://github.com/Alex-Lekov/AutoML_Alex/blob/master/examples/02_Data_Cleaning_and_Encoding_(DataPrepare).ipynb)  [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/Alex-Lekov/AutoML_Alex/blob/master/examples/02_Data_Cleaning_and_Encoding_(DataPrepare).ipynb)
+- [03_Models.ipynb](https://github.com/Alex-Lekov/AutoML_Alex/blob/master/examples/03_Models.ipynb)  [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/Alex-Lekov/AutoML_Alex/blob/master/examples/03_Models.ipynb)
 - [04_ModelsReview.ipynb](https://github.com/Alex-Lekov/AutoML_Alex/blob/master/examples/04_ModelsReview.ipynb)  [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/Alex-Lekov/AutoML_Alex/blob/master/examples/04_ModelsReview.ipynb)
-- [05_BestSingleModel.ipynb](https://github.com/Alex-Lekov/AutoML_Alex/blob/master/examples/05_BestSingleModel.ipynb)  [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/Alex-Lekov/AutoML_Alex/blob/master/examples/05_BestSingleModel.ipynb)
+
 
 
 # What's inside
@@ -83,25 +94,39 @@ It integrates many popular frameworks:
 - ...
 
 
-# Note:
+# Works with Features
+
+-   [x] Categorical Features
+
+-   [x] Numerical Features
+
+-   [x] Binary Features
+
+-   [ ] Text
+
+-   [ ] Datetime
+
+-   [ ] Timeseries
+
+-   [ ] Image
+
+
+# Note
 
 - **With a large dataset, a lot of memory is required!**
 Library creates many new features. If you have a large dataset with a large number of features (more than 100), you may need a lot of memory.
-- **Do not work with timeseries and texts** yet
 
 
 # Road Map
 
 -   [x] Feature Generation
 
--   [ ] Advanced Logging
+-   [x] Save/Load and Predict on New Samples
 
--   [ ] New Features Generators
+-   [ ] Advanced Logging
 
 -   [ ] DL Encoders
 
--   [ ] Save/Load and Predict on New Samples
-
 -   [ ] Add More libs (NNs)
 
 -   [ ] Add opt Pruners

automl_alex/__init__.py

@@ -2,4 +2,5 @@
 from .automl_alex import *
 from .data_prepare import *
 from .encoders import *
+from .cross_validation import *
 from .__version__ import __version__

automl_alex/__version__.py

@@ -1 +1 @@
-__version__ = "1.2.23"
+__version__ = "1.2.25"