Details

    • Type: New Feature New Feature
    • Status: Closed
    • Priority: Minor Minor
    • Resolution: Fixed
    • Affects Version/s: 0.6
    • Fix Version/s: 0.6
    • Component/s: Classification
    • Labels:

      Description

      Implement a gradient machine (aka 'neural network) that can be used for classification or auto-encoding.
      It will just have an input layer, identity, sigmoid or tanh hidden layer and an output layer.
      Training done by stochastic gradient descent (possibly mini-batch later).
      Sparsity will be optionally enforced by tweaking the bias in the hidden unit.
      For now it will go in classifier/sgd and the auto-encoder will wrap it in the filter unit later on.

        Activity

        Hector Yee created issue -
        Ted Dunning made changes -
        Field Original Value New Value
        Fix Version/s 0.6 [ 12316364 ]
        Hector Yee made changes -
        Attachment MAHOUT-703.patch [ 12479991 ]
        Hector Yee made changes -
        Status Open [ 1 ] Patch Available [ 10002 ]
        Sean Owen made changes -
        Status Patch Available [ 10002 ] Resolved [ 5 ]
        Assignee Ted Dunning [ tdunning ]
        Resolution Fixed [ 1 ]
        Sean Owen made changes -
        Status Resolved [ 5 ] Closed [ 6 ]

          People

          • Assignee:
            Ted Dunning
            Reporter:
            Hector Yee
          • Votes:
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            Watchers:
            2 Start watching this issue

            Dates

            • Created:
              Updated:
              Resolved:

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