Bugs in piecewise-linear encoding

[Yura52]

1. Here, indices = as_tensor(values) must be changed to this:

indices = as_tensor(indices)

2. Here, np.array(d_encoding) must be changed to this:

torch.tensor(d_encoding).to(indices)

3. Here, the argument dtype=X.dtype is missing for np.array

4. Here, .to(X) is missing

5. Here, it must be:

is_last_bin = bin_indices + 1 == as_tensor(list(map(len, bin_edges)))

[Dont-Care-Didnt-Ask]

6. Here it should be

       if (
           (c_values < effective_c_bin_edges[c_indices]).any()
           or (c_values > effective_c_bin_edges[c_indices + 1]).any()
       ):

[daniil-shlenskii]

7. Here, it must be

   quantiles = torch.linspace(0.0, 1.0, adjusted_n_bins + 1).to(column.device)