some errors

[bigleaffrog]

In the "lad_topic_model.py" file, I made a modification to the line:

temp = OneHotEncoder(sparse=False, handle_unknown='ignore', categories=np.arange(vocab_size).reshape([1, vocab_size]))
.fit_transform(word_labels.reshape([-1,1])) * word_scores

I modified it to:

temp = OneHotEncoder(sparse=False, handle_unknown='ignore', categories=[np.arange(vocab_size)])
.fit_transform(word_labels.reshape([-1, 1])) * word_scores

This change seems to be an attempt to fix an issue. However, I mentioned that there is still an error in the "loss.py" file, specifically in the line:

loss = -attr * loss_mask.cuda() * func.log_softmax(feat, 1)

but I don't know how to modify.

Looking forward your reply.

[Alien9427]

Hi,

Could you please kindly post the error message?

[bigleaffrog]

Thank you for your attention. I cannot upload my screenshot and can only provide my error in this way. I look forward to your reply.
Traceback (most recent call last):
File "/mnt/data/DataSetOfDL/SeaIceData/XAI4SAR-PGIL-main/src/ICE_PGN_train.py", line 174, in
train(config)
File "/mnt/data/DataSetOfDL/SeaIceData/XAI4SAR-PGIL-main/src/ICE_PGN_train.py", line 138, in train
attr = get_BoT(scat_paths, kmeans_model, lda_model, config['topic_num']) # shape: batchsize * topic_num
File "/mnt/data/DataSetOfDL/SeaIceData/XAI4SAR-PGIL-main/src/ICE_PGN_train.py", line 98, in get_BoT
test_corpus = gen_corpus(test_docs, kmeans, word_win, stride)
File "/mnt/data/DataSetOfDL/SeaIceData/XAI4SAR-PGIL-main/src/lda_topic_model.py", line 68, in gen_corpus
temp = OneHotEncoder(sparse=False, handle_unknown='ignore', categories=np.arange(vocab_size).reshape([1,vocab_size]))
File "/mnt/softs/miniconda3/envs/pytorch1/lib/python3.9/site-packages/sklearn/utils/_set_output.py", line 140, in wrapped
data_to_wrap = f(self, X, *args, **kwargs)
File "/mnt/softs/miniconda3/envs/pytorch1/lib/python3.9/site-packages/sklearn/base.py", line 915, in fit_transform
return self.fit(X, **fit_params).transform(X)
File "/mnt/softs/miniconda3/envs/pytorch1/lib/python3.9/site-packages/sklearn/base.py", line 1144, in wrapper
estimator._validate_params()
File "/mnt/softs/miniconda3/envs/pytorch1/lib/python3.9/site-packages/sklearn/base.py", line 637, in _validate_params
validate_parameter_constraints(
File "/mnt/softs/miniconda3/envs/pytorch1/lib/python3.9/site-packages/sklearn/utils/_param_validation.py", line 95, in validate_parameter_constraints
raise InvalidParameterError(
sklearn.utils._param_validation.InvalidParameterError: The 'categories' parameter of OneHotEncoder must be a str among {'auto'} or an instance of 'list'. Got array([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,
13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25,
26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51,
52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64,
65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77,
78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90,
91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103,
104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116,
117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129,
130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142,
143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155,
156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168,
169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181,
182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194,
195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207,
208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220,
221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233,
234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246,
247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259,
260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272,
273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285,
286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298,
299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311,
312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324,
325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337,
338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350,
351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363,
364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376,
377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389,
390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402,
403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415,
416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428,
429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441,
442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454,
455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467,
468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480,
481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493,
494, 495, 496, 497, 498, 499]]) instead.

[Alien9427]

The error may occur when using a different version of the scikit-learn package. For 0.23.2 version of sklearn, it is ok.