2.8数据-paddlepaddle数据集uci_housing

UCI Housing数据集

• 该模块将从 https://archive.ics.uci.edu/ml/machine-learning-databases/housing/ 下载数据集，并将训练集和测试集解析为paddle reader creator
• 每个样本都是正则化和价格编号后的特征

---

paddle.dataset.uci_housing:https://www.paddlepaddle.org.cn/documentation/docs/zh/api_cn/data/dataset_cn/uci_housing_cn.html

---

import paddle
import paddle.fluid as fluid
import numpy as np
import paddle.dataset.uci_housing as uci_housing

# 返回一个reader creator，reader中的每个样本都是正则化和价格编号后的特征
train=uci_housing.train() # .reader()>
'''
[==================================================]i_housing/housing.data not found, downloading http://paddlemodels.bj.bcebos.com/uci_housing/housing.data
'''
test=uci_housing.test() # .reader()>

a_sample=next(train())

print(len(a_sample)) # 2
print(a_sample[1]) # [24.]
print(a_sample[0].shape) # (13,)
print(a_sample[0]) # [-0.0405441   0.06636364 -0.32356227 -0.06916996 -0.03435197  0.05563625 -0.03475696  0.02682186 -0.37171335 -0.21419304 -0.33569506  0.10143217 -0.21172912]

len(uci_housing.feature_names) # 13
uci_housing.feature_names
'''
['CRIM',
  'ZN',
  'INDUS',
  'CHAS',
  'NOX',
  'RM',
  'AGE',
  'DIS',
  'RAD',
  'TAX',
  'PTRATIO',
  'B',
  'LSTAT']
''' 

# 13 var x ,1 var y
# uci_housing.UCI_TEST_DATA.shape:(102, 14)
# uci_housing.UCI_TRAIN_DATA.shape:(404, 14)
uci_housing.UCI_TEST_DATA
'''
array([[ 0.42616306, -0.11363636,  0.25525005, ..., -0.0686218 ,
         0.40637243,  8.5       ],
       [ 0.72279828, -0.11363636,  0.25525005, ...,  0.07134996,
         0.28495962,  5.        ],
       [ 0.19222996, -0.11363636,  0.25525005, ...,  0.03415696,
         0.2948934 , 11.9       ],
       ...,
       [-0.03993221, -0.11363636,  0.02907703, ...,  0.10143217,
        -0.1935172 , 23.9       ],
       [-0.03938337, -0.11363636,  0.02907703, ...,  0.09273279,
        -0.17033839, 22.        ],
       [-0.04008226, -0.11363636,  0.02907703, ...,  0.10143217,
        -0.13170704, 11.9       ]])
'''