Flip QoI does not work when passing parameter `qoi` as string

[joaopfonseca]

Describe the bug

This error pops up when using "flip" as a parameter value for qoi in the ShaRP object.

Steps/Code to Reproduce

This is an incomplete code example to reproduce the bug. Will try to edit this later with a fully reproducible example.

xai = ShaRP(
    qoi="flip",
    target_function=target_authenticity,
    measure="shapley",
    random_state=42,
    sample_size=2,
)
xai.fit(X)

# NOTE: temporary fix to said bug
# xai.qoi_.X = X

xai.individual(X_synth.values[0].reshape(1, -1))

Expected Results

Shapley values for an individual observation.

Actual Results

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[205], line 15
      9 xai.fit(X)
     11 # NOTE: temporary fix to a bug
     12 # xai.qoi_.X = X
     13
     14 # ind_values =
---> 15 xai.individual(X_synth.values[0].reshape(1, -1))

File ~/miniconda3/envs/mlresearch/lib/python3.12/site-packages/sharp/base.py:110, in ShaRP.individual(self, sample, X, y, **kwargs)
    107 if X is None:
    108     X = self.qoi_.X
--> 110 X_, y_ = check_inputs(X, y)
    112 if "set_cols_idx" in kwargs.keys():
    113     set_cols_idx = kwargs["set_cols_idx"]

File ~/miniconda3/envs/mlresearch/lib/python3.12/site-packages/sharp/utils/_checks.py:27, in check_inputs(X, y)
     24 if y is not None:
     25     y = np.array(y)
---> 27 return check_array(X, dtype="object"), y

File ~/miniconda3/envs/mlresearch/lib/python3.12/site-packages/sklearn/utils/validation.py:930, in check_array(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, estimator, input_name)
    927 if ensure_2d:
    928     # If input is scalar raise error
    929     if array.ndim == 0:
--> 930         raise ValueError(
    931             "Expected 2D array, got scalar array instead:\narray={}.\n"
    932             "Reshape your data either using array.reshape(-1, 1) if "
    933             "your data has a single feature or array.reshape(1, -1) "
    934             "if it contains a single sample.".format(array)
    935         )
    936     # If input is 1D raise error
    937     if array.ndim == 1:

ValueError: Expected 2D array, got scalar array instead:
array=None.
Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample.

Versions

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