1

# Parameter n_best must be greater than 0, but its value is (param1)

Package:
Exception Class:
ValueError

## Raise code

``````                     " {}. It should either be a single integer"
" or an iterable with two integers:"
" (n_row_clusters, n_column_clusters)") from e
if self.n_components < 1:
raise ValueError("Parameter n_components must be greater than 0,"
" but its value is {}".format(self.n_components))
if self.n_best < 1:
raise ValueError("Parameter n_best must be greater than 0,"
" but its value is {}".format(self.n_best))
if self.n_best > self.n_components:
raise ValueError("n_best cannot be larger than"
" n_components, but {} >  {}"
"".format(self.n_best, self.n_components))

def _fit(self, X):
n_sv``````
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## Ways to fix

1

The parameter n_best should be given a value greater than 0.

Code to reproduce the exception:

```from sklearn.cluster import SpectralBiclustering
import numpy as np
X = np.array([[1, 1], [2, 1], [1, 0],
[4, 7], [3, 5], [3, 6]])
clustering = SpectralBiclustering(n_clusters=2, random_state=0,n_best=0).fit(X)
clustering.row_labels_
```

The exception output:

```--------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-5-f7d719aed33c> in <module>()  3 X = np.array([[1, 1], [2, 1], [1, 0],  4 [4, 7], [3, 5], [3, 6]]) ----> 5 clustering = SpectralBiclustering(n_clusters=2, random_state=0,n_best=0).fit(X)  6 clustering.row_labels_
/usr/local/lib/python3.7/dist-packages/sklearn/cluster/_bicluster.py in _check_parameters(self)  524 raise ValueError(  525 "Parameter n_best must be greater than 0, but its value is {}".format( --> 526 self.n_best  527 )  528 )
ValueError: Parameter n_best must be greater than 0, but its value is 0
```

Fixed version of the code:

```from sklearn.cluster import SpectralBiclustering
import numpy as np
X = np.array([[1, 1], [2, 1], [1, 0],
[4, 7], [3, 5], [3, 6]])
clustering = SpectralBiclustering(n_clusters=2, random_state=0,n_best=2).fit(X)
clustering.row_labels_
```

Output:

```array([1, 1, 1, 0, 0, 0], dtype=int32)
```

Mar 29, 2022
kellemnegasi 30.0k