Update cookbook to latest API #4706
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| [Example file1](../../test/data/adult.train): | ||
| [Example file2](../../test/data/adult.test): | ||
| [Example file1](../../test/data/adult.tiny.with-schema.txt): | ||
| [Example file2](../../test/data/adult.tiny.with-schema.txt): |
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We no longer have adult.train and adult.test in the repo. I'm using this file twice to demonstrate how multiple files can be loaded.
I'll add a sentence saying so.
In reply to: 370990390 [](ancestors = 370990390)
| -0.61,-0.37,-0.12,0.55,-1.00,0.84,-0.02,1.30,-0.24,-0.50,-2.12,148.12 | ||
| -0.85,-0.91,1.81,0.02,-0.78,-1.41,-1.09,-0.65,0.90,-0.37,-0.22,402.20 | ||
| 0.28,1.05,-0.24,0.30,-0.99,0.19,0.32,-0.95,-1.19,-0.63,0.75,443.51 | ||
| -2.75;0.77;-0.61;0.14;1.39;0.38;-0.53;-0.50;-2.13;-0.39;0.46;140.66 |
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; [](start = 5, length = 1)
Nit: Why are you changing the commas to semicolons?
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Ok, now I see that semicolon is actually the separator in this dataset. Should we change it to .txt instead of .csv?
In reply to: 370990496 [](ancestors = 370990496)
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I wouldn't touch this right now, with all the issues we are seeing with tests failing randomly.
In reply to: 370990675 [](ancestors = 370990675,370990496)
docs/code/MlNetCookBook.md
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| For example, if the linear model assigned zero weight to a feature that we consider important, it could indicate some problem with modeling. The weights of the linear model can also be used as a poor man's estimation of 'feature importance'. | ||
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| We provide a set of `onFit` delegates that allow introspection of the individual transformers as they are trained. | ||
| We provide a set of `onFit` delegates that allow inspection of the individual transformers as they are trained. |
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onFit [](start = 21, length = 5)
This is mentioned here, but I don't see anywhere in this file that shows how to use it.
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This isn't really relevant to model coefficients. I will add another section for this.
In reply to: 370991105 [](ancestors = 370991105)
Codecov Report
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## master #4706 +/- ##
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Coverage ? 75.68%
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Files ? 971
Lines ? 175586
Branches ? 18892
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Hits ? 132900
Misses ? 37474
Partials ? 5212
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| @@ -306,6 +311,45 @@ var someRows = mlContext | |||
| var featureColumns = transformedData.GetColumn<string[]>(transformedData.Schema["AllFeatures"]) | |||
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| ``` | |||
| ## How do I look at intermediate transformers as they are trained? | |||
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The following code snippet is lifted verbatim from docs/samples/Microsoft.ML.Samples/Dynamic/WithOnFitDelegate.cs
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Fixes #3849