Moved around datasets

Author: AndriyMulyar

.gitignore

@@ -169,5 +169,6 @@ fabric.properties
 *.egg-info
 *.eggs/
 venv/
+.idea/*
 
 

MANIFEST.in

@@ -1,2 +1,2 @@
 include README.rst
-include datasets/*
+include py_learning_benchmarks/datasets/*

datasets/__init__.py

@@ -1,9 +1,10 @@
 """
 Loads datasets one at a time for experimentation purposes
 """
-from datasets import ClassificationLoader
+from .datasets import ClassificationLoader
 from .processing.data_processor import DataProcessor
-from pprint import pprint
+
+
 class DataLoader:
 
     def __init__(self, return_folds=True, filters=[], pre_process=True):

py_learning_benchmarks/data_loader.py

@@ -0,0 +1 @@
+from py_learning_benchmarks.datasets.classification.classification_loader import ClassificationLoader

py_learning_benchmarks/datasets/__init__.py

@@ -22,10 +22,10 @@ def load_meta(self):
         return filtered
 
     def _load_keel(self):
-        for directory in pkg_resources.resource_listdir('datasets', 'classification/data/keel'):
-            for dataset_directory in pkg_resources.resource_listdir('datasets', 'classification/data/keel'+'/'+directory):
-                metadata_file = pkg_resources.resource_filename('datasets', 'classification/data/keel'+'/'+directory+'/'+dataset_directory+'/'+dataset_directory+'-names.txt')
-                dataset_metadata = {'name':dataset_directory, 'directory': 'classification/data/keel'+'/'+directory+'/'+dataset_directory}
+        for directory in pkg_resources.resource_listdir('py_learning_benchmarks', 'datasets/classification/data/keel'):
+            for dataset_directory in pkg_resources.resource_listdir('py_learning_benchmarks', 'datasets/classification/data/keel'+'/'+directory):
+                metadata_file = pkg_resources.resource_filename('py_learning_benchmarks', 'datasets/classification/data/keel'+'/'+directory+'/'+dataset_directory+'/'+dataset_directory+'-names.txt')
+                dataset_metadata = {'name':dataset_directory, 'directory': 'datasets/classification/data/keel'+'/'+directory+'/'+dataset_directory}
                 with open(metadata_file, 'r') as file:
                     text = file.read()
                     matches = re.finditer(r"\d:\s([\w ]*)[.:\s]*([A-Za-z0-9.,]+(?:\s+[A-Za-z0-9.,]+)*\s*$)", text, re.MULTILINE)