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It seems when there's an error in sphinx, you get a printout of the following form
path/to/filename.rst:77: ERROR: Unknown target name: "children".
When an error occurs in a numpydoc-ed class, the filename part is replaced with a representation of a python list of all the lines (in rst-form, post numpydoc mangling) which can be quite long. It fills up my bash history and makes it incredibly hard to see the actual error message.
['n_components_ (int) The estimated number of connected components in the graph. ', ' children_ (array-like, shape (n_nodes-1, 2)) The children of each non-leaf node. Values less than `n_samples` correspond to leaves of the tree which are the original samples. A node `i` greater than or equal to `n_samples` is a non-leaf node and has children `children_[i - n_samples]`. Alternatively at the i-th iteration, children[i][0] and children[i][1] are merged to form node `n_samples + i` ', '============= ==========', '', '.. rubric:: Methods', '', '.. autosummary::', '', ' fit', ' fit_predict', ' fit_transform', ' get_params', ' partial_predict', ' partial_transform', ' predict', ' set_params', ' summarize', ' transform', '', '.. automethod:: __init__', '', '', '.. rubric:: Methods', '', '.. autosummary::', '', ' ~Ward.__init__', ' ~Ward.fit', ' ~Ward.fit_predict', ' ~Ward.fit_transform', ' ~Ward.get_params', ' ~Ward.partial_predict', ' ~Ward.partial_transform', ' ~Ward.predict', ' ~Ward.set_params', ' ~Ward.summarize', ' ~Ward.transform', '', '.. py:method:: Ward.fit(sequences, y=None)', ' :module: msmbuilder.cluster', '', ' ', ' ', ' Fit the clustering on the data', ' ', ' ', ' :Parameters:', ' ', ' **sequences** : list of array-like, each of shape [sequence_length, n_features]', ' ', ' A list of multivariate timeseries. Each sequence may have', ' a different length, but they all must have the same number', ' of features.', ' ', ' :Returns:', ' ', ' self', ' ', ' ', ' ', '', '.. py:method:: Ward.fit_predict(sequences, y=None)', ' :module: msmbuilder.cluster', '', ' ', ' ', ' Performs clustering on X and returns cluster labels.', ' ', ' ', ' :Parameters:', ' ', ' **sequences** : list of array-like, each of shape [sequence_length, n_features]', ' ', ' A list of multivariate timeseries. Each sequence may have', ' a different length, but they all must have the same number', ' of features.', ' ', ' :Returns:', ' ', ' **Y** : list of ndarray, each of shape [sequence_length, ]', ' ', ' Cluster labels', ' ', '', '.. py:method:: Ward.fit_transform(sequences, y=None)', ' :module: msmbuilder.cluster', '', ' ', ' ', ' Alias for fit_predict', ' ', ' ', '', '.. py:method:: Ward.get_params(deep=True)', ' :module: msmbuilder.cluster', '', ' ', ' ', ' Get parameters for this estimator.', ' ', ' ', ' :Parameters:', ' ', ' **deep: boolean, optional**', ' ', ' If True, will return the parameters for this estimator and', ' contained subobjects that are estimators.', ' ', ' :Returns:', ' ', ' **params** : mapping of string to any', ' ', ' Parameter names mapped to their values.', ' ', '', '.. py:method:: Ward.partial_predict(X, y=None)', ' :module: msmbuilder.cluster', '', ' ', ' ', ' Predict the closest cluster each sample in X belongs to.', ' ', ' In the vector quantization literature, `cluster_centers_` is called', ' the code book and each value returned by `predict` is the index of', ' the closest code in the code book.', ' ', ' :Parameters:', ' ', ' **X** : array-like shape=(n_samples, n_features)', ' ', ' A single timeseries.', ' ', ' :Returns:', ' ', ' **Y** : array, shape=(n_samples,)', ' ', ' Index of the cluster that each sample belongs to', ' ', '', '.. py:method:: Ward.partial_transform(X)', ' :module: msmbuilder.cluster', '', ' ']:77: ERROR: Unknown target name: "children".
Can anyone point me to where I might investigate where this filename is getting (re-)set?
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