helper function to compare arrays with nans

dt: (...) timescales A: (... N N) B: (... N)

dt: (...) timescales A: (... N N) B: (... N)

Check .npy files in directory and delete corrupted ones. Args: directory (str): Path to directory to check

add a chunk column to the dataset df

adds a column with mean

add a column with unique labels in column col

adds a column with median

Decorator: replace `**kwargs` in signature with params from `to`

eval instance-wise scores across all samples for a single threshold

Called on every epoch starts.

Input x is shape (B, d_input, L) if transposed_input else (B, L, d_input)

state: (..., s, N) extra tensor that augments B rate: sampling rate factor returns: (..., c+s, L)

u: (B H L) if self.transposed else (B L H) state: (H N) never needed unless you know what you're doing Returns: same shape a

X: (batch, dim, lengths...).

Input x is shape (B, d_input, L) if transposed_input else (B, L, d_input)

state: (..., s, N) extra tensor that augments B rate: sampling rate factor returns: (..., c+s, L)

u: (B H L) if self.transposed else (B L H) state: (H N) never needed unless you know what you're doing Returns: same shape a