Removed the definitions tags in documentation
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@ -21,9 +21,7 @@ See a longer tutorial on creating distributions [here](/docs/Guides/Distribution
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### normal
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**Definitions**
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```javascript
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```
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normal: (distribution|number, distribution|number) => distribution
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normal: (dict<{p5: distribution|number, p95: distribution|number}>) => distribution
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normal: (dict<{mean: distribution|number, stdev: distribution|number}>) => distribution
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@ -41,9 +39,7 @@ normal({ mean: uniform(5, 9), stdev: 3 })
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### lognormal
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**Definitions**
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```javascript
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```
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lognormal: (distribution|number, distribution|number) => distribution
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lognormal: (dict<{p5: distribution|number, p95: distribution|number}>) => distribution
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lognormal: (dict<{mean: distribution|number, stdev: distribution|number}>) => distribution
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@ -59,9 +55,7 @@ lognormal({ mean: 5, stdev: 2 })
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### uniform
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**Definitions**
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```javascript
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```
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uniform: (distribution|number, distribution|number) => distribution
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```
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@ -73,9 +67,7 @@ uniform(10, 12)
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### beta
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**Definitions**
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```javascript
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```
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beta: (distribution|number, distribution|number) => distribution
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```
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@ -87,9 +79,7 @@ beta(20, 25)
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### cauchy
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**Definitions**
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```javascript
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```
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cauchy: (distribution|number, distribution|number) => distribution
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```
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@ -101,8 +91,6 @@ cauchy(5, 1)
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### gamma
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**Definitions**
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```javascript
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gamma: (distribution|number, distribution|number) => distribution
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```
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@ -115,9 +103,7 @@ gamma(5, 1)
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### Logistic
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**Definitions**
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```javascript
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```
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logistic: (distribution|number, distribution|number) => distribution
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```
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@ -129,9 +115,7 @@ gamma(5, 1)
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### exponential
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**Definitions**
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```javascript
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```
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exponential: (distribution|number) => distribution
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```
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@ -143,9 +127,7 @@ exponential(2)
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### bernoulli
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**Definitions**
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```javascript
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```
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bernoulli: (distribution|number) => distribution
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```
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@ -157,8 +139,6 @@ bernoulli(0.5)
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### triangular
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**Definitions**
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```javascript
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triangular: (number, number, number) => distribution
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```
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@ -177,7 +157,7 @@ If both values are above zero, a `lognormal` distribution is used. If not, a `no
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``To`` is an alias for ``credibleIntervalToDistribution``. However, because of its frequent use, it is recommended to use the shorter name.
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```javascript
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```
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to: (distribution|number, distribution|number) => distribution
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credibleIntervalToDistribution(distribution|number, distribution|number) => distribution
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```
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@ -193,7 +173,7 @@ to(5,10)
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### mixture
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```javascript
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```
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mixture: (...distributionLike, weights?:list<float>) => distribution
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mixture: (list<distributionLike>, weights?:list<float>) => distribution
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```
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@ -212,8 +192,8 @@ mx([normal(5, 1), normal(10, 1)], [0.3, 0.7])
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One random sample from the distribution
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```javascript
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sample(distribution) => number
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```
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sample: (distribution) => number
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```
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**Examples**
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@ -226,7 +206,7 @@ sample(normal(5, 2))
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N random samples from the distribution
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```javascript
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```
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sampleN: (distribution, number) => list<number>
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```
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@ -240,7 +220,7 @@ sampleN(normal(5, 2), 100)
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The distribution mean
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```javascript
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```
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mean: (distribution) => number
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```
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@ -254,7 +234,7 @@ mean(normal(5, 2))
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Standard deviation. Only works now on sample set distributions (so converts other distributions into sample set in order to calculate.)
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```javascript
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```
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stdev: (distribution) => number
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```
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@ -262,19 +242,19 @@ stdev: (distribution) => number
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Variance. Similar to stdev, only works now on sample set distributions.
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```javascript
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```
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variance: (distribution) => number
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```
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### mode
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```javascript
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```
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mode: (distribution) => number
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```
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### cdf
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```javascript
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```
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cdf: (distribution, number) => number
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```
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@ -286,7 +266,7 @@ cdf(normal(5, 2), 3)
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### pdf
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```javascript
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```
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pdf: (distribution, number) => number
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```
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@ -298,7 +278,7 @@ pdf(normal(5, 2), 3)
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### quantile
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```javascript
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```
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quantile: (distribution, number) => number
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```
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@ -310,9 +290,11 @@ quantile(normal(5, 2), 0.5)
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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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```javascript
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```
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toPointSet: (distribution) => pointSetDistribution
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```
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@ -323,10 +305,11 @@ 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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```javascript
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```
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toSampleSet: (distribution, number) => sampleSetDistribution
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```
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@ -340,7 +323,7 @@ toSampleSet(normal(5, 2), 1000)
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Truncates the left side of a distribution. Returns either a pointSet distribution or a symbolic distribution.
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```javascript
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```
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truncateLeft: (distribution, l => number) => distribution
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```
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@ -354,7 +337,7 @@ truncateLeft(normal(5, 2), 3)
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Truncates the right side of a distribution. Returns either a pointSet distribution or a symbolic distribution.
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```javascript
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```
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truncateRight: (distribution, r => number) => distribution
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```
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@ -368,7 +351,7 @@ truncateLeft(normal(5, 2), 6)
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[Kullback–Leibler divergence](https://en.wikipedia.org/wiki/Kullback%E2%80%93Leibler_divergence) between two distributions.
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```javascript
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```
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klDivergence: (distribution, distribution) => number
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```
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@ -382,7 +365,7 @@ klDivergence(normal(5, 2), normal(5, 4)) // returns 0.57
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### toString
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```javascript
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```
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toString: (distribution) => string
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```
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@ -396,7 +379,7 @@ toString(normal(5, 2))
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Produce a sparkline of length n
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```javascript
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```
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toSparkline: (distribution, n = 20) => string
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```
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@ -410,7 +393,7 @@ toSparkline(normal(5, 2), 10)
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Prints the value of the distribution to the Javascript console, then returns the distribution.
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```javascript
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```
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inspect: (distribution) => distribution
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```
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@ -426,7 +409,7 @@ inspect(normal(5, 2))
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Normalize a distribution. This means scaling it appropriately so that it's cumulative sum is equal to 1.
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```javascript
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```
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normalize: (distribution) => distribution
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```
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@ -440,7 +423,7 @@ normalize(normal(5, 2))
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Check of a distribution is normalized. Most distributions are typically normalized, but there are some commands that could produce non-normalized distributions.
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```javascript
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```
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isNormalized: (distribution) => bool
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```
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@ -454,7 +437,7 @@ isNormalized(normal(5, 2)) // returns true
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Get the sum of the integral of a distribution. If the distribution is normalized, this will be 1.
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```javascript
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```
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integralSum: (distribution) => number
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```
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@ -476,10 +459,12 @@ pointMass(5 + 10) == pointMass(5) + pointMass(10)
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### add
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```javascript
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```
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add: (distributionLike, distributionLike) => distribution
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```
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**Examples**
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```javascript
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normal(0,1) + normal(1,3) // returns normal(1, 3.16...)
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add(normal(0,1), normal(1,3)) // returns normal(1, 3.16...)
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@ -488,68 +473,72 @@ add(normal(0,1), normal(1,3)) // returns normal(1, 3.16...)
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### sum
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**Todo: Not yet implemented for distributions**
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```javascript
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```
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sum: (list<distributionLike>) => distribution
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```
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**Examples**
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```javascript
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sum([normal(0,1), normal(1,3), uniform(10,1)])
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```
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### multiply
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```javascript
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```
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multiply: (distributionLike, distributionLike) => distribution
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```
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### product
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```javascript
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```
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product: (list<distributionLike>) => distribution
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```
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### subtract
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```javascript
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```
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subtract: (distributionLike, distributionLike) => distribution
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```
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### divide
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```javascript
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```
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divide: (distributionLike, distributionLike) => distribution
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```
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### pow
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```javascript
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```
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pow: (distributionLike, distributionLike) => distribution
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```
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### exp
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```javascript
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```
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exp: (distributionLike, distributionLike) => distribution
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```
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### log
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```javascript
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```
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log: (distributionLike, distributionLike) => distribution
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```
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### log10
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```javascript
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```
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log10: (distributionLike, distributionLike) => distribution
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```
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### unaryMinus
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```javascript
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```
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unaryMinus: (distribution) => distribution
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```
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**Examples**
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```javascript
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-(normal(5,2)) // same as normal(-5, 2)
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unaryMinus(normal(5,2)) // same as normal(-5, 2)
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@ -559,37 +548,37 @@ unaryMinus(normal(5,2)) // same as normal(-5, 2)
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### dotAdd
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```javascript
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```
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dotAdd: (distributionLike, distributionLike) => distribution
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```
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### dotMultiply
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```javascript
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```
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dotMultiply: (distributionLike, distributionLike) => distribution
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```
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### dotSubtract
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```javascript
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```
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dotSubtract: (distributionLike, distributionLike) => distribution
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```
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### dotDivide
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```javascript
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```
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dotDivide: (distributionLike, distributionLike) => distribution
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```
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### dotPow
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```javascript
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```
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dotPow: (distributionLike, distributionLike) => distribution
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```
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### dotExp
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```javascript
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```
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dotExp: (distributionLike, distributionLike) => distribution
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```
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@ -597,31 +586,31 @@ dotExp: (distributionLike, distributionLike) => distribution
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### scaleMultiply
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```javascript
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```
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scaleMultiply: (distributionLike, number) => distribution
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```
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### scalePow
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```javascript
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```
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scalePow: (distributionLike, number) => distribution
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```
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### scaleExp
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```javascript
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```
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scaleExp: (distributionLike, number) => distribution
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```
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### scaleLog
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```javascript
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```
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scaleLog: (distributionLike, number) => distribution
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```
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### scaleLog10
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```javascript
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```
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scaleLog10: (distributionLike, number) => distribution
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```
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@ -631,7 +620,7 @@ scaleLog10: (distributionLike, number) => distribution
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Adds metadata to a function of the input ranges. Works now for numeric and date inputs. This is useful when making predictions. It allows you to limit the domain that your prediction will be used and scored within.
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```javascript
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```
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declareFn: (dict<{fn: lambda, inputs: array<dict<{min: number, max: number}>>}>) => declaration
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```
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@ -41,7 +41,7 @@ PointSet.makeDiscrete: (list<{x: number, y: number}>) => pointSetDist
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```
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```javascript
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toDiscretePointSet([
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PointSet.makeDiscrete([
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{ x: 0, y: 0.1 },
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{ x: 1, y: 0.2 },
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{ x: 2, y: 0.15 },
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