scikit-learn__scikit-learn-14092
Based on the issue description, I can understand the problem and create the appropriate patch. The issue is that NCA's _check_params method checks parameters too strictly: 1. It checks isinstance(tol, float) which fails when tol=1 (an int)…
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Content
Based on the issue description, I can understand the problem and create the appropriate patch. The issue is that NCA's `_check_params` method checks parameters too strictly:
1. It checks `isinstance(tol, float)` which fails when `tol=1` (an int)
2. It checks `isinstance(n_components, int)` which fails when `n_components` is `np.int64`
The fix is to use `numbers.Integral` and `numbers.Real` from the `numbers` module instead of `int` and `float` directly. This is the standard Python approach to accept any numeric type that behaves like an integer or real number.
Based on the issue description
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