45 lines
3.5 KiB
Plaintext
45 lines
3.5 KiB
Plaintext
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INFO:mylog:sysdir: D:\estar-proj\microproduct-l-sar\landcover-L-SAR
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INFO:mylog:init algXML succeed
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INFO:mylog:create new workspace success!
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INFO:mylog:check_source success!
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INFO:root:scope0:[[130.58930555555554, 47.875416666666666], [131.11458333333331, 47.875416666666666], [130.58930555555554, 47.428472222222226], [131.11458333333331, 47.428472222222226]]
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INFO:root:scope1:[[130.58930555555554, 47.875416666666666], [131.11458333333331, 47.875416666666666], [130.58930555555554, 47.428472222222226], [131.11458333333331, 47.428472222222226]]
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INFO:root:scope roi :[(130.58930555555554, 47.428472222222226), (130.58930555555554, 47.875416666666666), (131.11458333333331, 47.875416666666666), (131.11458333333331, 47.428472222222226)]
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INFO:mylog:cut sim_ori success!
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INFO:mylog:preprocess_handle success!
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INFO:mylog:1,water,num:89608
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INFO:mylog:max number =10000, random select10000 point as train data!
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INFO:mylog:2,road,num:148509
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INFO:mylog:max number =10000, random select10000 point as train data!
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INFO:mylog:3,crop,num:45047
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INFO:mylog:max number =10000, random select10000 point as train data!
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INFO:mylog:read csv data success!
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INFO:mylog:progress bar: 20%
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INFO:mylog:refine_lee filter success!
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INFO:mylog:progress bar: 30%
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INFO:root:feature_tif_paths:{'Freeman_Dbl': 'D:\\micro\\LWork\\LandCover\\Temporary\\processing\\feature_tif\\Freeman_Dbl.tif', 'Freeman_Odd': 'D:\\micro\\LWork\\LandCover\\Temporary\\processing\\feature_tif\\Freeman_Odd.tif', 'Freeman_Vol': 'D:\\micro\\LWork\\LandCover\\Temporary\\processing\\feature_tif\\Freeman_Vol.tif', 'Yamaguchi4_Dbl': 'D:\\micro\\LWork\\LandCover\\Temporary\\processing\\feature_tif\\Yamaguchi4_Dbl.tif', 'Yamaguchi4_Hlx': 'D:\\micro\\LWork\\LandCover\\Temporary\\processing\\feature_tif\\Yamaguchi4_Hlx.tif', 'Yamaguchi4_Odd': 'D:\\micro\\LWork\\LandCover\\Temporary\\processing\\feature_tif\\Yamaguchi4_Odd.tif', 'Yamaguchi4_Vol': 'D:\\micro\\LWork\\LandCover\\Temporary\\processing\\feature_tif\\Yamaguchi4_Vol.tif'}
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INFO:mylog:decompose feature success!
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INFO:mylog:progress bar: 50%
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INFO:mylog:feature_list:[]
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INFO:mylog:gene_train_set success!
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ERROR:mylog:run-time error!
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Traceback (most recent call last):
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File "D:/estar-proj/microproduct-l-sar/landcover-L-SAR/LandCoverMain.py", line 689, in <module>
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if main_handler.process_handle(start) is False:
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File "D:/estar-proj/microproduct-l-sar/landcover-L-SAR/LandCoverMain.py", line 568, in process_handle
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X_train, Y_train, optimal_feature = ml.gene_optimal_train_set(train_data_dic, feature_geo, 0.07, 0.85)
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File "D:\estar-proj\microproduct-l-sar\tool\algorithm\ml\machineLearning.py", line 41, in gene_optimal_train_set
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optimal_feature = ml.sel_optimal_feature_set(X_train, Y_train, threshold=important_threshold)
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File "D:\estar-proj\microproduct-l-sar\tool\algorithm\ml\machineLearning.py", line 303, in sel_optimal_feature_set
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model.fit(X_train, Y_train.astype('int'))
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File "D:\Anaconda\envs\micro\lib\site-packages\sklearn\ensemble\_forest.py", line 326, in fit
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X, y = self._validate_data(
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File "D:\Anaconda\envs\micro\lib\site-packages\sklearn\base.py", line 572, in _validate_data
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X, y = check_X_y(X, y, **check_params)
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File "D:\Anaconda\envs\micro\lib\site-packages\sklearn\utils\validation.py", line 956, in check_X_y
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X = check_array(
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File "D:\Anaconda\envs\micro\lib\site-packages\sklearn\utils\validation.py", line 806, in check_array
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raise ValueError(
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ValueError: Found array with 0 feature(s) (shape=(30000, 0)) while a minimum of 1 is required.
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INFO:mylog:running use time: 0:11:18.197804
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