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Backport #16895, #16922, #16878, #16979 and #16900 to 1.6 #17029
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* Fix indexing bug * More test cases * Add test from 16647
…r batch interval (apache#16922) * Update LoggingHandler to support logging per interval * Fix the constant variable issue in the logging handler * Remove the constant variable hack in the logging handler. * 1) replace LOG_PER_BATCH with LOG_PER_INTERVAL 2) add test case * Improve the test script for LoggingHandler * small fix on the test script * logging handler test case bug fix * remove parameter verbose from LoggingHandler * move log_interval to the first argument * resolve unittest mistakes
Strategy to be used for aggregating across mini-batches.
"macro": average the pearsonr scores for each batch.
"micro": compute a single pearsonr score across all batches.
* update Check for repeated axes enable addto to transpose fix fix fix fix remove unused ndim Update pseudo2DTranspose_op-inl.cuh Update pseudo2DTranspose_op-inl.cuh Update pseudo2DTranspose_op-inl.cuh fix Update pseudo2DTranspose_op-inl.cuh try to fix Update pseudo2DTranspose_op-inl.cuh Update pseudo2DTranspose_op-inl.cuh Update pseudo2DTranspose_op-inl.cuh fix Update np_matrix_op.cc Update test_numpy_op.py update test case fix implementation fix bug update fix bug Update pseudo2DTranspose_op-inl.cuh fix fix Update test_numpy_op.py * Fix bug * fix docstring * try to address comment * no need to change this line * Fix bug * address comments * address comment
* introduce gradient update handler to the base estimator * Modify the gradient update handler to include the batch size * Remove unrelated gradient update handler. * Modify gradient update handler to take the current batch size. * Remove white space to avoid the sanity check failure * add small tweak to the handler code * Modify the documentation of priority parameter of relevant handlers. * small modification on the documentation. * Add small modification on the documentation. * Remove unnecessary list check
ptrendx
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Description
Backport #16895, #16922, #16878, #16979 and #16900 to 1.6
FYI @reminisce, @sxjscience, @liuzh91, @zburning, @leezu.