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How to convert the fitted gradient boosting regression model into JSON
My code is as follows
from sklearn.ensemble import GradientBoostingRegressor
import sklearn_json as skljson
import pandas as pd
file_path = 'data.csv'
data = pd.read_csv(file_path)
# 从数据中提取预测值和实际体重
X = data[['Actual_Length', 'Actual_Diagonal', 'Actual_Height']]
y = data['Weight']
/Users/yang/opt/anaconda3/envs/tojson/bin/python /Users/yang/PycharmProjects/tojson/weight3.py
Traceback (most recent call last):
File "/Users/yang/PycharmProjects/tojson/weight3.py", line 28, in
json_model = skljson.to_json(gbr_model,'model')
File "/Users/yang/opt/anaconda3/envs/tojson/lib/python3.6/site-packages/sklearn_json/init.py", line 122, in to_json
json.dump(serialize_model(model), model_json)
File "/Users/yang/opt/anaconda3/envs/tojson/lib/python3.6/json/init.py", line 179, in dump
for chunk in iterable:
File "/Users/yang/opt/anaconda3/envs/tojson/lib/python3.6/json/encoder.py", line 430, in _iterencode
yield from _iterencode_dict(o, _current_indent_level)
File "/Users/yang/opt/anaconda3/envs/tojson/lib/python3.6/json/encoder.py", line 404, in _iterencode_dict
yield from chunks
File "/Users/yang/opt/anaconda3/envs/tojson/lib/python3.6/json/encoder.py", line 404, in _iterencode_dict
yield from chunks
File "/Users/yang/opt/anaconda3/envs/tojson/lib/python3.6/json/encoder.py", line 437, in _iterencode
o = _default(o)
File "/Users/yang/opt/anaconda3/envs/tojson/lib/python3.6/json/encoder.py", line 180, in default
o.class.name)
TypeError: Object of type 'ndarray' is not JSON serializable
Process finished with exit code 1
The text was updated successfully, but these errors were encountered:
How to convert the fitted gradient boosting regression model into JSON
My code is as follows
from sklearn.ensemble import GradientBoostingRegressor
import sklearn_json as skljson
import pandas as pd
file_path = 'data.csv'
data = pd.read_csv(file_path)
# 从数据中提取预测值和实际体重
X = data[['Actual_Length', 'Actual_Diagonal', 'Actual_Height']]
y = data['Weight']
创建并拟合梯度提升回归模型
gbr_model = GradientBoostingRegressor()
gbr_model.fit(X, y)
But he will report an error
/Users/yang/opt/anaconda3/envs/tojson/bin/python /Users/yang/PycharmProjects/tojson/weight3.py
Traceback (most recent call last):
File "/Users/yang/PycharmProjects/tojson/weight3.py", line 28, in
json_model = skljson.to_json(gbr_model,'model')
File "/Users/yang/opt/anaconda3/envs/tojson/lib/python3.6/site-packages/sklearn_json/init.py", line 122, in to_json
json.dump(serialize_model(model), model_json)
File "/Users/yang/opt/anaconda3/envs/tojson/lib/python3.6/json/init.py", line 179, in dump
for chunk in iterable:
File "/Users/yang/opt/anaconda3/envs/tojson/lib/python3.6/json/encoder.py", line 430, in _iterencode
yield from _iterencode_dict(o, _current_indent_level)
File "/Users/yang/opt/anaconda3/envs/tojson/lib/python3.6/json/encoder.py", line 404, in _iterencode_dict
yield from chunks
File "/Users/yang/opt/anaconda3/envs/tojson/lib/python3.6/json/encoder.py", line 404, in _iterencode_dict
yield from chunks
File "/Users/yang/opt/anaconda3/envs/tojson/lib/python3.6/json/encoder.py", line 437, in _iterencode
o = _default(o)
File "/Users/yang/opt/anaconda3/envs/tojson/lib/python3.6/json/encoder.py", line 180, in default
o.class.name)
TypeError: Object of type 'ndarray' is not JSON serializable
Process finished with exit code 1
The text was updated successfully, but these errors were encountered: