我制作了一个由布尔数组组成的功能，因此权重针对它们表示的字符串进行了调整。但是数组并没有被接受。
这是我正在使用的两个功能。目标是“类型”，培训功能是“ install_per_review”
9516 23.8
7236 20.4
5781 4.0
2409 12.5
6052 59.4
...
9648 inf
6125 196.5
3305 11.7
8841 7.1
720 29.0
Name: install_per_review, Length: 500, dtype: float64
9516 [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
7236 [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
5781 [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
2409 [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
6052 [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
...
9648 [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
6125 [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
3305 [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
8841 [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
720 [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
Name: genres, Length: 500, dtype: object
这会将字符串数组转换为布尔数组
genre_features = apps_dataframe["genres"]
# Multi-hot encoding
genres = set()
for genre in genre_features:
genres.add(genre)
encoded_features = []
for genre in genre_features:
genre_feature = []
for g in genres:
if g == genre:
genre_feature.append(1)
else:
genre_feature.append(0)
encoded_features.append(genre_feature)
apps_dataframe["genres"] = encoded_features
然后将数据用于模型训练
my_feature = input_feature
my_feature_data = apps_dataframe[[my_feature]]
my_label = "genres"
targets = apps_dataframe[my_label]
.....
sample = apps_dataframe.sample(n=500)
feature_sample = sample[my_feature]
label_sample = sample[my_label]
print(feature_sample)
print(label_sample)
plt.scatter(feature_sample, label_sample)
但是Tensorflow抱怨因为我将每个元素都设置为一个数组（即使我愿意）
File "/Users/lukire01/.vscode/extensions/ms-python.python-2019.3.6558/pythonFiles/ptvsd_launcher.py", line 45, in <module>
main(ptvsdArgs)
File "/Users/lukire01/.vscode/extensions/ms-python.python-2019.3.6558/pythonFiles/lib/python/ptvsd/__main__.py", line 391, in main
run()
File "/Users/lukire01/.vscode/extensions/ms-python.python-2019.3.6558/pythonFiles/lib/python/ptvsd/__main__.py", line 272, in run_file
runpy.run_path(target, run_name='__main__')
File "/usr/local/Cellar/python/3.7.3/Frameworks/Python.framework/Versions/3.7/lib/python3.7/runpy.py", line 263, in run_path
pkg_name=pkg_name, script_name=fname)
File "/usr/local/Cellar/python/3.7.3/Frameworks/Python.framework/Versions/3.7/lib/python3.7/runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "/usr/local/Cellar/python/3.7.3/Frameworks/Python.framework/Versions/3.7/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/Users/lukire01/Code/tf_demo/app_store_model.py", line 207, in <module>
input_feature="install_per_review"
File "/Users/lukire01/Code/tf_demo/app_store_model.py", line 97, in train_model
plt.scatter(feature_sample, label_sample)
File "/usr/local/lib/python3.7/site-packages/matplotlib/pyplot.py", line 2862, in scatter
is not None else {}), **kwargs)
File "/usr/local/lib/python3.7/site-packages/matplotlib/__init__.py", line 1810, in inner
return func(ax, *args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/matplotlib/axes/_axes.py", line 4297, in scatter
alpha=alpha
File "/usr/local/lib/python3.7/site-packages/matplotlib/collections.py", line 899, in __init__
Collection.__init__(self, **kwargs)
File "/usr/local/lib/python3.7/site-packages/matplotlib/collections.py", line 155, in __init__
offsets = np.asanyarray(offsets, float)
File "/usr/local/lib/python3.7/site-packages/numpy/core/numeric.py", line 591, in asanyarray
return array(a, dtype, copy=False, order=order, subok=True)
ValueError: setting an array element with a sequence.```