prepared for pypi

seenstevo · seenstevo · commit 6cf008bd87b3 · 2023-02-23T13:59:16.000+01:00
diff --git a/mltoolkit/__init__.py b/mltoolkit/__init__.py
@@ -0,0 +1,4 @@
+from mltoolkit.machine_learning import *
+from mltoolkit.data_analysis import *
+from mltoolkit.plot import *
+from mltoolkit.data_processing import *
diff --git a/mltoolkit/data_analysis.py b/mltoolkit/data_analysis.py
diff --git a/mltoolkit/data_processing.py b/mltoolkit/data_processing.py
diff --git a/mltoolkit/machine_learning.py b/mltoolkit/machine_learning.py
diff --git a/mltoolkit/plot.py b/mltoolkit/plot.py
diff --git a/setup.cfg b/setup.cfg
@@ -0,0 +1,3 @@
+# Inside of setup.cfg
+[metadata]
+description-file = README.md
diff --git a/setup.py b/setup.py
@@ -3,7 +3,7 @@
 setup(
   name = 'mltoolkit',
   packages = ['mltoolkit'],
-  version = '0.1',
+  version = '1.0',
   license = 'MIT',
   description = 'Helper functions for all stages of the machine learning model building process',
   author = 'TheBridgeMachineLearningPythonLibrary',
diff --git a/test/__init__.py b/test/__init__.py
@@ -1,3 +1,2 @@
-
 import sys
-sys.path.insert(1, '../toolkit')
+sys.path.insert(1, '../mltoolkit')
diff --git a/test/imports_worst_params.py b/test/imports_worst_params.py
@@ -3,6 +3,10 @@
 from sklearn.linear_model import LogisticRegression
 from sklearn.ensemble import RandomForestClassifier
 from sklearn.svm import SVC
+from mltoolkit.data_processing import buffdescribe
+from mltoolkit.data_analysis import *
+from mltoolkit.machine_learning import *
+from mltoolkit.plot import *
 
 clf_cv_results = {'mean_fit_time': array([0.01718318, 0.0028271 , 0.38156233, 0.33234448, 0.35453713,
         0.00439863, 0.00284553, 0.00274587, 0.00266459, 0.00200651,
diff --git a/test/test_Chi.py b/test/test_Chi.py
@@ -1,4 +1,7 @@
-
+from mltoolkit.data_processing import buffdescribe
+from mltoolkit.data_analysis import *
+from mltoolkit.machine_learning import *
+from mltoolkit.plot import *
 
 
 def test_chi_squared_test():
diff --git a/test/test_add_previous.py b/test/test_add_previous.py
@@ -1,4 +1,7 @@
-from add_previous import add_previous
+from mltoolkit.data_processing import buffdescribe
+from mltoolkit.data_analysis import *
+from mltoolkit.machine_learning import *
+from mltoolkit.plot import *
 import pandas as pd
 
 df = pd.DataFrame(data= {'Goals': [0, 2, 1, 4, 5, 2, 1, 0, 2, 0, 1, 1], 
diff --git a/test/test_balance.py b/test/test_balance.py
@@ -1,5 +1,7 @@
-
-from balance import balance_binary_target
+from mltoolkit.data_processing import buffdescribe
+from mltoolkit.data_analysis import *
+from mltoolkit.machine_learning import *
+from mltoolkit.plot import *
 
 import pytest
 import pandas as pd
diff --git a/test/test_buffdescribe.py b/test/test_buffdescribe.py
@@ -2,10 +2,10 @@
 import pandas as pd
 import pytest
 
-from toolkit.data_processing import buffdescribe
-from toolkit.data_analysis import *
-from toolkit.machine_learning import *
-from toolkit.plot import *
+from mltoolkit.data_processing import buffdescribe
+from mltoolkit.data_analysis import *
+from mltoolkit.machine_learning import *
+from mltoolkit.plot import *
 
 @pytest.fixture
 
diff --git a/test/test_clean_text.py b/test/test_clean_text.py
@@ -1,10 +1,10 @@
 import pytest
 import pandas as pd
 
-from toolkit.data_processing import clean_text
-from toolkit.data_analysis import *
-from toolkit.machine_learning import *
-from toolkit.plot import *
+from mltoolkit.data_processing import clean_text
+from mltoolkit.data_analysis import *
+from mltoolkit.machine_learning import *
+from mltoolkit.plot import *
 
 @pytest.fixture
 
diff --git a/test/test_convert_to_numeric.py b/test/test_convert_to_numeric.py
@@ -1,5 +1,5 @@
 import pandas as pd
-from toolkit.data_processing import convert_to_numeric
+from mltoolkit.data_processing import convert_to_numeric
 
 def test_convert_to_numeric():
     
diff --git a/test/test_export_model.py b/test/test_export_model.py
@@ -1,4 +1,4 @@
-from toolkit.machine_learning import export_model
+from mltoolkit.machine_learning import export_model
 
 from sklearn.neighbors import KNeighborsClassifier
 import os
diff --git a/test/test_gen_from_array.py b/test/test_gen_from_array.py
@@ -1,4 +1,4 @@
-from toolkit.data_processing import ImageDataGen
+from mltoolkit.data_processing import ImageDataGen
 import numpy as np
 
 x = np.load('./image_data_gen_test_data/X_image_data_gen_test.npy')
diff --git a/test/test_gen_from_dataframe.py b/test/test_gen_from_dataframe.py
@@ -1,4 +1,4 @@
-from toolkit.data_processing import ImageDataGen
+from mltoolkit.data_processing import ImageDataGen
 import pandas as pd
 
 dataframe = pd.read_csv('./image_data_gen_test_data/image_data_gen_test.csv')
diff --git a/test/test_gen_from_directory.py b/test/test_gen_from_directory.py
@@ -1,4 +1,4 @@
-from toolkit.data_processing import ImageDataGen
+from mltoolkit.data_processing import ImageDataGen
 
 def test_gen_from_directory():
     max_image_count = 100
diff --git a/test/test_heatmap_corr.py b/test/test_heatmap_corr.py
@@ -2,7 +2,7 @@
 import matplotlib.pyplot as plt
 import seaborn as sns
 import pandas as pd
-from toolkit.plot import heatmap
+from mltoolkit.plot import heatmap
 
 def test_heatmap():
     df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9], 'target': [10, 20, 30]})
diff --git a/test/test_ignore_columns_polyfeatures.py b/test/test_ignore_columns_polyfeatures.py
@@ -2,7 +2,7 @@
 from typing import List
 from sklearn.preprocessing import PolynomialFeatures
 
-from toolkit.machine_learning import ignore_columns_polyfeatures
+from mltoolkit.machine_learning import ignore_columns_polyfeatures
 
 
 def test_log_transform_data_ignore():
diff --git a/test/test_import_model.py b/test/test_import_model.py
@@ -1,4 +1,4 @@
-from toolkit.machine_learning import import_model
+from mltoolkit.machine_learning import import_model
 
 from sklearn.neighbors import KNeighborsClassifier
 import os
diff --git a/test/test_last_columndf.py b/test/test_last_columndf.py
@@ -1,9 +1,9 @@
 
 
-from toolkit.data_processing import last_columndf, uniq_value,list_categorical_columns
-from toolkit.data_analysis import *
-from toolkit.machine_learning import *
-from toolkit.plot import *
+from mltoolkit.data_processing import last_columndf, uniq_value,list_categorical_columns
+from mltoolkit.data_analysis import *
+from mltoolkit.machine_learning import *
+from mltoolkit.plot import *
 
 import pandas as pd
 import numpy as pd
diff --git a/test/test_list_categorical_columns.py b/test/test_list_categorical_columns.py
@@ -1,9 +1,9 @@
 
 
-from toolkit.data_processing import last_columndf, uniq_value,list_categorical_columns
-from toolkit.data_analysis import *
-from toolkit.machine_learning import *
-from toolkit.plot import *
+from mltoolkit.data_processing import last_columndf, uniq_value,list_categorical_columns
+from mltoolkit.data_analysis import *
+from mltoolkit.machine_learning import *
+from mltoolkit.plot import *
 
 import pandas as pd
 import numpy as pd
diff --git a/test/test_load_imgs.py b/test/test_load_imgs.py
@@ -1,8 +1,8 @@
 # Importa la función a testear
-from toolkit.data_processing import load_imgs
-from toolkit.data_analysis import *
-from toolkit.machine_learning import *
-from toolkit.plot import *
+from mltoolkit.data_processing import load_imgs
+from mltoolkit.data_analysis import *
+from mltoolkit.machine_learning import *
+from mltoolkit.plot import *
 
 import pandas as pd
 import numpy as np
diff --git a/test/test_load_model_zip.py b/test/test_load_model_zip.py
@@ -1,7 +1,7 @@
 import pickle
 import zipfile
 import tempfile
-from toolkit.machine_learning import load_model_zip
+from mltoolkit.machine_learning import load_model_zip
 import os
 import tempfile
 
diff --git a/test/test_log_transform_data.py b/test/test_log_transform_data.py
@@ -2,7 +2,7 @@
 import numpy as np
 import pytest
 
-from toolkit.data_processing import log_transform_data
+from mltoolkit.data_processing import log_transform_data
 
 
 def test_log_transform_data_ignore():
diff --git a/test/test_pcvr.py b/test/test_pcvr.py
@@ -1,4 +1,4 @@
-from toolkit.plot import plot_cumulative_variance_ratio
+from mltoolkit.plot import plot_cumulative_variance_ratio
 
 import pytest
 import numpy as np
diff --git a/test/test_plot_ngrams.py b/test/test_plot_ngrams.py
@@ -1,7 +1,7 @@
-from toolkit.data_processing import *
-from toolkit.data_analysis import *
-from toolkit.machine_learning import *
-from toolkit.plot import plot_ngrams
+from mltoolkit.data_processing import *
+from mltoolkit.data_analysis import *
+from mltoolkit.machine_learning import *
+from mltoolkit.plot import plot_ngrams
 
 import pandas as pd
 import numpy as np
diff --git a/test/test_predict_model_classification.py b/test/test_predict_model_classification.py
@@ -1,4 +1,4 @@
-from toolkit.machine_learning import predict_model_classification
+from mltoolkit.machine_learning import predict_model_classification
 
 from sklearn.neighbors import KNeighborsClassifier
 import pandas as pd
diff --git a/test/test_processing_model_classification.py b/test/test_processing_model_classification.py
@@ -1,4 +1,4 @@
-from toolkit.machine_learning import processing_model_classification
+from mltoolkit.machine_learning import processing_model_classification
 
 from sklearn.neighbors import KNeighborsClassifier
 import pandas as pd
diff --git a/test/test_quick.py b/test/test_quick.py
@@ -1,4 +1,4 @@
-from toolkit.machine_learning import quickregression
+from mltoolkit.machine_learning import quickregression
 
 from sklearn.linear_model import LinearRegression
 import pytest
diff --git a/test/test_read_csv_zip.py b/test/test_read_csv_zip.py
@@ -1,7 +1,7 @@
 import pandas as pd
 import os
 from io import BytesIO
-from toolkit.data_analysis import read_csv_zip
+from mltoolkit.data_analysis import read_csv_zip
 import zipfile
 
 
diff --git a/test/test_read_url.py b/test/test_read_url.py
@@ -1,6 +1,6 @@
 import pytest
 import pandas as pd
-from toolkit.data_analysis import read_url
+from mltoolkit.data_analysis import read_url
 
 def test_read_url():
 
diff --git a/test/test_roc.py b/test/test_roc.py
@@ -1,6 +1,6 @@
 import numpy as np
 import pytest
-from toolkit.plot import plot_roc_curve
+from mltoolkit.plot import plot_roc_curve
 
 @pytest.fixture()
 def binary_classification_data():
diff --git a/test/test_scrap.py b/test/test_scrap.py
@@ -7,7 +7,7 @@
 import time
 import io
 from PIL import Image
-from toolkit.machine_learning import image_scrap
+from mltoolkit.machine_learning import image_scrap
 import shutil
 
 
diff --git a/test/test_show_scoring.py b/test/test_show_scoring.py
@@ -1,4 +1,4 @@
-from toolkit.machine_learning import show_scoring
+from mltoolkit.machine_learning import show_scoring
 import pandas as pd
 
 import pytest
diff --git a/test/test_smoth.py b/test/test_smoth.py
@@ -1,4 +1,8 @@
-from smoth import _exponential_smooth
+from mltoolkit.data_processing import buffdescribe
+from mltoolkit.data_analysis import *
+from mltoolkit.machine_learning import *
+from mltoolkit.plot import *
+
 import pandas as pd
 def test_exponential_smooth():
     # Define a sample dataset to test with
diff --git a/test/test_sunburst.py b/test/test_sunburst.py
@@ -1,4 +1,4 @@
-from toolkit.plot import sunburst
+from mltoolkit.plot import sunburst
 import plotly.graph_objs as go
 import plotly.express as px
 
diff --git a/test/test_uniq_value.py b/test/test_uniq_value.py
@@ -1,9 +1,9 @@
 
 
-from toolkit.data_processing import last_columndf, uniq_value,list_categorical_columns
-from toolkit.data_analysis import *
-from toolkit.machine_learning import *
-from toolkit.plot import *
+from mltoolkit.data_processing import last_columndf, uniq_value,list_categorical_columns
+from mltoolkit.data_analysis import *
+from mltoolkit.machine_learning import *
+from mltoolkit.plot import *
 
 import pandas as pd
 import numpy as pd
diff --git a/test/test_winner_loser.py b/test/test_winner_loser.py
@@ -1,4 +1,7 @@
-from winner_loser import winner_loser
+from mltoolkit.data_processing import buffdescribe
+from mltoolkit.data_analysis import *
+from mltoolkit.machine_learning import *
+from mltoolkit.plot import *
 import pandas as pd
 import pytest
 
diff --git a/test/test_word.py b/test/test_word.py
@@ -1,4 +1,4 @@
-from toolkit.plot import wordcloudviz
+from mltoolkit.plot import wordcloudviz
 
 import pytest
 import matplotlib.pyplot as plt
diff --git a/test/test_worst_params.py b/test/test_worst_params.py
@@ -1,4 +1,7 @@
-from worst_params import worst_params
+from mltoolkit.data_processing import buffdescribe
+from mltoolkit.data_analysis import *
+from mltoolkit.machine_learning import *
+from mltoolkit.plot import *
 import pytest
 import numpy as np
 from imports_worst_params import clf_cv_results, df
diff --git a/toolkit/__init__.py b/toolkit/__init__.py

Original file line number	Diff line number	Diff line change
`@@ -0,0 +1,3 @@`
	`1`	`+# Inside of setup.cfg`
	`2`	`+[metadata]`
	`3`	`+description-file = README.md`