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Copy delayed version of the input signal on the space dimensions. For example, for ``time_frames=3`` and ``gap=2``:: [ X(1) Y(1) [ X(1) Y(1) X(3) Y(3) X(5) Y(5) X(2) Y(2) X(2) Y(2) X(4) Y(4) X(6) Y(6) X(3) Y(3) --> X(3) Y(3) X(5) Y(5) X(7) Y(7) X(4) Y(4) X(4) Y(4) X(6) Y(6) X(8) Y(8) X(5) Y(5) ... ... ... ... ... ... ] X(6) Y(6) X(7) Y(7) X(8) Y(8) ... ... ] It is not always possible to invert this transformation (the transformation is not surjective. However, the ``pseudo_inverse`` method does the correct thing when it is indeed possible.
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_train_seq List of tuples:: |
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dtype dtype |
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input_dim Input dimensions |
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output_dim Output dimensions |
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supported_dtypes Supported dtypes |
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Input arguments: time_frames -- Number of delayed copies gap -- Time delay between the copies
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Return the list of dtypes supported by this node.
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Process the data contained in `x`. If the object is still in the training phase, the function `stop_training` will be called. `x` is a matrix having different variables on different columns and observations on the rows. By default, subclasses should overwrite `_execute` to implement their execution phase. The docstring of the `_execute` method overwrites this docstring.
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Return True if the node can be inverted, False otherwise.
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Return True if the node can be trained, False otherwise.
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This function returns a pseudo-inverse of the execute frame. y == execute(x) only if y belongs to the domain of execute and has been computed with a sufficently large x. If gap > 1 some of the last rows will be filled with zeros. |
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