Update DistGeneric.mdx
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@ -290,38 +290,6 @@ quantile: (distribution, number) => number
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quantile(normal(5, 2), 0.5);
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```
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### toPointSet
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**TODO: Will soon be called "PointSet.make"**
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Converts a distribution to the pointSet format.
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```
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toPointSet: (distribution) => pointSetDistribution
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```
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**Examples**
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```javascript
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toPointSet(normal(5, 2));
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```
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### toSampleSet
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**TODO: Will soon be called "SampleSet.make"**
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Converts a distribution to the sampleSet format, with n samples.
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```
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toSampleSet: (distribution, number) => sampleSetDistribution
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```
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**Examples**
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```javascript
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toSampleSet(normal(5, 2), 1000);
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```
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### truncateLeft
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Truncates the left side of a distribution. Returns either a pointSet distribution or a symbolic distribution.
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@ -412,20 +380,6 @@ sparkline: (distribution, n = 20) => string
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toSparkline(truncateLeft(normal(5, 2), 3), 20); // produces ▁▇█████▇▅▄▃▂▂▁▁▁▁▁▁▁
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```
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### inspect
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Prints the value of the distribution to the Javascript console, then returns the distribution. Useful for debugging.
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```
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inspect: (distribution) => distribution
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```
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**Examples**
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```javascript
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inspect(normal(5, 2)); // logs "normal(5, 2)" to the javascript console and returns the distribution.
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```
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## Normalization
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There are some situations where computation will return unnormalized distributions. This means that their cumulative sums are not equal to 1.0. Unnormalized distributions are not valid for many relevant functions; for example, klDivergence and scoring.
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