v0.2.2 (alteryx#220)

* use prebuilt mock customer es in doc

* bump version number

* remove outdated documentation

* update changelog

* remove doc changes from changelog

docs/source/changelog.rst

@@ -2,6 +2,21 @@
 
 Changelog
 ---------
+**v0.2.2** Aug 20, 2018
+    * Remove unnecessary check no related instances call and refactor (:pr:`209`)
+    * Improve memory usage through support for pandas categorical types (:pr:`196`)
+    * Bump minimum pandas version from 0.20.3 to 0.23.0 (:pr:`216`)
+    * Better parallel memory warnings (:pr:`208`, :pr:`214`)
+    * Update demo datasets (:pr:`187`, :pr:`201`, :pr:`207`)
+    * Make primitive lookup case insensitive  (:pr:`213`)
+    * Use capital name (:pr:`211`)
+    * Set class name for Min (:pr:`206`)
+    * Remove ``variable_types`` from normalize entity (:pr:`205`)
+    * Handle parquet serialization with last time index (:pr:`204`)
+    * Reset index of cutoff times in calculate feature matrix (:pr:`198`)
+    * Check argument types for .normalize_entity (:pr:`195`)
+    * Type checking ignore entities.  (:pr:`193`)
+
 **v0.2.1** July 2, 2018
     * Cpu count fix (:pr:`176`)
     * Update flight (:pr:`175`)

docs/source/feature_engineering_language/feature-types.rst

@@ -8,20 +8,7 @@
     import featuretools as ft
     import pandas as pd
 
-    data = ft.demo.load_mock_customer()
-
-    entities = {
-           "customers" : (data["customers"], "id"), # time index is optional
-           "sessions" : (data["sessions"], "id", "session_start"),
-           "products" : (data["products"], "id"),
-           "transactions" : (data["transactions"], "id", "transaction_time")
-    }
-    relationships = [("sessions", "id", "transactions", "session_id"),
-                     ("products", "id", "transactions", "product_id"),
-                     ("customers", "id", "sessions", "customer_id")]
-    es = ft.EntitySet("session_data", entities, relationships)
-    es
-
+    es = ft.demo.load_mock_customer(return_entityset=True)
 
 Feature types
 ==============
@@ -96,7 +83,7 @@ Aggregation features are used to create features for a :term:`parent entity` by
 .. ipython:: python
 
     from featuretools.primitives import Count
-    total_events = Count(es["transactions"]["id"], es["customers"])
+    total_events = Count(es["transactions"]["transaction_id"], es["customers"])
     fm = ft.calculate_feature_matrix([total_events], es)
     fm.head()
 
@@ -108,7 +95,7 @@ Often times, we only want to aggregate using a certain amount of previous data.
 
 .. ipython:: python
 
-    total_events_last_30_days = Count(es["transactions"]["id"],
+    total_events_last_30_days = Count(es["transactions"]["transaction_id"],
                                       parent_entity=es["customers"],
                                       use_previous="30 days")
     fm = ft.calculate_feature_matrix([total_events_last_30_days], es)
@@ -124,7 +111,7 @@ When defining aggregation or cumulative transform features, we can provide a ``w
 
 .. ipython:: python
 
-    afternoon_events = Count(es["transactions"]["id"],
+    afternoon_events = Count(es["transactions"]["transaction_id"],
                          parent_entity=es["customers"],
                          where=is_afternoon).rename("afternoon_events")
     fm = ft.calculate_feature_matrix([afternoon_events], es)
@@ -143,7 +130,7 @@ Say we want to calculate the number of events per customer in the past 30 days.
 .. ipython:: python
 
     from featuretools.primitives import CumCount
-    total_events = CumCount(base_feature=es["transactions"]["id"],
+    total_events = CumCount(base_feature=es["transactions"]["transaction_id"],
                             group_feature=es["transactions"]["session_id"],
                             use_previous="1 hour")
     fm = ft.calculate_feature_matrix([total_events], es)

featuretools/__init__.py

@@ -12,4 +12,4 @@
 from .utils.time_utils import *
 import featuretools.demo
 
-__version__ = '0.2.1'
+__version__ = '0.2.2'

setup.py

@@ -15,7 +15,7 @@ def finalize_options(self):
 
 setup(
     name='featuretools',
-    version='0.2.1',
+    version='0.2.2',
     packages=find_packages(),
     package_data={'featuretools': ['config.yaml']},
     description='a framework for automated feature engineering',