针对pulse-transit的工具

dist/client/sklearn/datasets/descr/california_housing.rst

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+.. _california_housing_dataset:
+
+California Housing dataset
+--------------------------
+
+**Data Set Characteristics:**
+
+    :Number of Instances: 20640
+
+    :Number of Attributes: 8 numeric, predictive attributes and the target
+
+    :Attribute Information:
+        - MedInc        median income in block group
+        - HouseAge      median house age in block group
+        - AveRooms      average number of rooms per household
+        - AveBedrms     average number of bedrooms per household
+        - Population    block group population
+        - AveOccup      average number of household members
+        - Latitude      block group latitude
+        - Longitude     block group longitude
+
+    :Missing Attribute Values: None
+
+This dataset was obtained from the StatLib repository.
+https://www.dcc.fc.up.pt/~ltorgo/Regression/cal_housing.html
+
+The target variable is the median house value for California districts,
+expressed in hundreds of thousands of dollars ($100,000).
+
+This dataset was derived from the 1990 U.S. census, using one row per census
+block group. A block group is the smallest geographical unit for which the U.S.
+Census Bureau publishes sample data (a block group typically has a population
+of 600 to 3,000 people).
+
+An household is a group of people residing within a home. Since the average
+number of rooms and bedrooms in this dataset are provided per household, these
+columns may take surpinsingly large values for block groups with few households
+and many empty houses, such as vacation resorts.
+
+It can be downloaded/loaded using the
+:func:`sklearn.datasets.fetch_california_housing` function.
+
+.. topic:: References
+
+    - Pace, R. Kelley and Ronald Barry, Sparse Spatial Autoregressions,
+      Statistics and Probability Letters, 33 (1997) 291-297