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recurrent.LSTM() can't handle "p"?

See original GitHub issue

Hi, I was experimenting with LSTM yesteraday and it seems it cannot parse the letter P This is whats it throwing

/Users/didair/ai/node_modules/brain.js/dist/utilities/data-formatter.js:85
          throw new Error('unrecognized character "' + character + '"');
          ^

Error: unrecognized character "p"
    at DataFormatter.toIndexes (/Users/didair/ai/node_modules/brain.js/dist/utilities/data-formatter.js:85:17)
    at DataFormatter.toIndexesInputOutput (/Users/didair/ai/node_modules/brain.js/dist/utilities/data-formatter.js:101:23)
    at LSTM.formatDataIn (/Users/didair/ai/node_modules/brain.js/dist/recurrent/rnn.js:751:35)
    at LSTM.run (/Users/didair/ai/node_modules/brain.js/dist/recurrent/rnn.js:374:24)
    at Object.<anonymous> (/Users/didair/ai/example.js:24:22)
    at Module._compile (module.js:571:32)
    at Object.Module._extensions..js (module.js:580:10)
    at Module.load (module.js:488:32)
    at tryModuleLoad (module.js:447:12)
    at Function.Module._load (module.js:439:3)

Issue Analytics

State:
Created 6 years ago
Reactions:2
Comments:12 (6 by maintainers)

Top GitHub Comments

3reactions

adrianoweadcommented, Nov 6, 2017

@NicolasBrondin

Thank you, but this is not correct syntax (with current version brain.js@1.0.0-rc.3).

If run as array, works:

net.run( [ 49 ] );

If run as object, does not works:

net.run( {input: 49 } );

If run as object with array, does not works:

net.run( {input: [49] } );

Same error to predict the position 51. Does not works:

net.run( {input: 51 } );

Returns this error:

C:\desenvolvimento\javascript-nn\brain.js\node_modules\brain.js\dist\utilities\data-formatter.js:103
        result = this.toIndexes(value1.concat(['stop-input', 'start-output']), maxThreshold);
                                       ^

TypeError: value1.concat is not a function
    at DataFormatter.toIndexesInputOutput (C:\desenvolvimento\javascript-nn\brain.js\node_modules\brain.js\dist\utilities\data-formatter.js:103:40)
    at LSTM.formatDataIn (C:\desenvolvimento\javascript-nn\brain.js\node_modules\brain.js\dist\recurrent\rnn.js:751:35)
    at LSTM.run (C:\desenvolvimento\javascript-nn\brain.js\node_modules\brain.js\dist\recurrent\rnn.js:374:24)
    at Object.<anonymous> (C:\desenvolvimento\javascript-nn\brain.js\index.js:28:18)
    at Module._compile (module.js:570:32)
    at Object.Module._extensions..js (module.js:579:10)
    at Module.load (module.js:487:32)
    at tryModuleLoad (module.js:446:12)
    at Function.Module._load (module.js:438:3)
    at Module.runMain (module.js:604:10)

0reactions

mubaidrcommented, Jul 24, 2018

This was be fixed in: https://github.com/BrainJS/brain.js/pull/241