vecstack - pypi Package Compare versions

Comparing version 0.2.1 to 0.2.2

PKG-INFO

 Metadata-Version: 1.1
 Name: vecstack
-Version: 0.2.1
+Version: 0.2.2
 Summary: Python package for stacking (machine learning technique)
@@ -9,3 +9,3 @@ Home-page: https://github.com/vecxoz/vecstack
 License: MIT
-Description: UNKNOWN
+Description: Convenient way to automate OOF computation, prediction and bagging using any number of models
 Keywords: stacking,blending,bagging,ensemble,ensembling,machine learning
@@ -19,2 +19,8 @@ Platform: UNKNOWN
 Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 2
+Classifier: Programming Language :: Python :: 2.7
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3.4
+Classifier: Programming Language :: Python :: 3.5
+Classifier: Programming Language :: Python :: 3.6
 Classifier: Topic :: Scientific/Engineering
@@ -21,0 +27,0 @@ Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence

setup.py

@@ -6,4 +6,5 @@ #! /usr/bin/env python
 setup(name='vecstack',
-      version='0.2.1',
+      version='0.2.2',
       description='Python package for stacking (machine learning technique)',
+      long_description='Convenient way to automate OOF computation, prediction and bagging using any number of models',
       classifiers=[
@@ -16,2 +17,8 @@ 'License :: OSI Approved :: MIT License',
           'Programming Language :: Python',
+          'Programming Language :: Python :: 2',
+          'Programming Language :: Python :: 2.7',
+          'Programming Language :: Python :: 3',
+          'Programming Language :: Python :: 3.4',
+          'Programming Language :: Python :: 3.5',
+          'Programming Language :: Python :: 3.6',
           'Topic :: Scientific/Engineering',
@@ -36,2 +43,4 @@ 'Topic :: Scientific/Engineering :: Artificial Intelligence',
       ],
+      test_suite='nose.collector',
+      tests_require=['nose'],
       zip_safe=False)

vecstack.egg-info/PKG-INFO

 Metadata-Version: 1.1
 Name: vecstack
-Version: 0.2.1
+Version: 0.2.2
 Summary: Python package for stacking (machine learning technique)
@@ -9,3 +9,3 @@ Home-page: https://github.com/vecxoz/vecstack
 License: MIT
-Description: UNKNOWN
+Description: Convenient way to automate OOF computation, prediction and bagging using any number of models
 Keywords: stacking,blending,bagging,ensemble,ensembling,machine learning
@@ -19,2 +19,8 @@ Platform: UNKNOWN
 Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 2
+Classifier: Programming Language :: Python :: 2.7
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3.4
+Classifier: Programming Language :: Python :: 3.5
+Classifier: Programming Language :: Python :: 3.6
 Classifier: Topic :: Scientific/Engineering
@@ -21,0 +27,0 @@ Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence

vecstack/__init__.py

@@ -38,2 +38,2 @@ """Python package for stacking (machine learning technique)
 __license__ = 'MIT'
-__version__ = '0.2.1'
+__version__ = '0.2.2'

vecstack/core.py

@@ -44,3 +44,2 @@ """Python package for stacking (machine learning technique)
 from datetime import datetime
-import re
 import numpy as np
@@ -53,2 +52,3 @@ import scipy.stats as st
 from sklearn.metrics import log_loss
+from sklearn.utils.validation import check_X_y, check_array
 
@@ -210,3 +210,3 @@ #-------------------------------------------------------------------------------
     save_dir: str, default None
-        If specified - considered as a valid directory where log and 
+        If specified - considered as a valid directory (must exist) where log and 
         returned arrays will be saved. 
@@ -410,7 +410,16 @@ If not specified - log and arrays will not be saved.
         raise ValueError('List of models is empty')
-    # Convert arrays to ndarrays
+    # Check arrays
     # y_train and sample_weight must be 1d ndarrays (i.e. row, not column)
-    X_train = np.array(X_train)
-    y_train = np.array(y_train).ravel()
-    X_test = np.array(X_test)
+    X_train, y_train = check_X_y(X_train,
+                                 y_train,
+                                 accept_sparse=['csr'], # allow csr and cast all other sparse types to csr
+                                 force_all_finite=False, # allow nan and inf because 
+                                                         # some models (xgboost) can handle
+                                 multi_output=False) # do not allow several columns in y_train
+                                 
+    if X_test is not None: # allow X_test to be None for mode='oof'
+        X_test = check_array(X_test,
+                             accept_sparse=['csr'], # allow csr and cast all other sparse types to csr
+                             force_all_finite=False) # allow nan and inf because 
+                                                     # some models (xgboost) can handle
     if sample_weight is not None:
@@ -417,0 +426,0 @@ sample_weight = np.array(sample_weight).ravel()

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Improved metrics

Total package byte prevSize

38057

5.85%

Lines of code

663

2.63%