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More comments for torch test
215a7a1
Allow functional versions of early stop condition
44dcbea
Add early stop conditions to force speed testing
4c9fe98
Do not store custom loss in Julia main
fb2f513
Add missing default in docstring
893fdd2
Fix formatting
9b2a102
Switch order of torch depending on operating system
5ffac80
Fix issue with torch imported before Julia init
4abcbfe
Add determinism-based scikit-learn tests back
be36d4a
Add deterministic mode with new SR version
25e0721
Fixed weight checking
c51257e
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Supress progress output for tests
4b56660
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Fix to pass test_custom_operator
19d80b0
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Ensure iteration completes for multioutput test
f570132
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Added validation for weights
4819728
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Passed check_dict_unchanged
9750ff9
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More helpful error message for sklearn tests
8570a81
Soft fail tests which require determinism
c7c02bf
Don't check array if set to None
11f524f
Updated parameter validation
6881818
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Add warm_start
3e8d44d
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Cleaned test and docstring
3821242
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New updated checkpoint loading and tests
fbb7cf7
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Added pickle support
bd90cfc
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Added control of random_state for numpy and julia
3ef5500
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