oliverbooth/X10D
oliverbooth/X10D
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Update upm branch (1939bbe4ba)

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github-actions 2023-04-03 16:16:59 +00:00
parent a6411af4be
commit b94655afec
4 changed files with 37 additions and 1 deletions
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X10D.Unity.dll
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X10D.xml
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@ -7098,6 +7098,20 @@
<param name="gamma">The gamma value to use for encoding.</param>
<returns>The gamma-encoded value.</returns>
</member>
<member name="M:X10D.Math.MathUtility.Sawtooth(System.Single)">
<summary>
Returns the incremental sawtooth wave of a given value.
</summary>
<param name="value">The value to calculate.</param>
<returns>The sawtooth wave of the given value.</returns>
</member>
<member name="M:X10D.Math.MathUtility.Sawtooth(System.Double)">
<summary>
Returns the incremental sawtooth wave of a given value.
</summary>
<param name="value">The value to calculate.</param>
<returns>The sawtooth wave of the given value.</returns>
</member>
<member name="M:X10D.Math.MathUtility.ScaleRange(System.Single,System.Single,System.Single,System.Single,System.Single)">
<summary>
Converts a value from being a percentage of one range, to being the same percentage in a new range.
@ -7120,6 +7134,28 @@
<param name="newMax">The new maximum value.</param>
<returns>The scaled value.</returns>
</member>
<member name="M:X10D.Math.MathUtility.Sigmoid(System.Single)">
<summary>
Calculates the sigmoid function for the given input value.
</summary>
<param name="value">The input value for which to calculate the sigmoid function.</param>
<returns>The result of applying the sigmoid function to the input value.</returns>
<remarks>
The sigmoid function is a commonly used activation function in artificial neural networks and logistic regression. It
maps any real-valued number to a value between 0 and 1.
</remarks>
</member>
<member name="M:X10D.Math.MathUtility.Sigmoid(System.Double)">
<summary>
Calculates the sigmoid function for the given input value.
</summary>
<param name="value">The input value for which to calculate the sigmoid function.</param>
<returns>The result of applying the sigmoid function to the input value.</returns>
<remarks>
The sigmoid function is a commonly used activation function in artificial neural networks and logistic regression. It
maps any real-valued number to a value between 0 and 1.
</remarks>
</member>
<member name="M:X10D.Math.MathUtility.SmoothStep(System.Single,System.Single,System.Single)">
<summary>
Performs smooth Hermite interpolation from one value to a target using a specified alpha.

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package.json
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@ -6,7 +6,7 @@
"url": "https://oliverbooth.dev"
},
"displayName": "X10D",
"version": "3.2.0-nightly.221",
"version": "3.2.0-nightly.222",
"unity": "2021.3",
"description": "Extension methods on crack",
"keywords": [