FSharp.Stats Namespace
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Module to compute common statistical measure on array |
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Contains correlation functions for different data types |
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Functions for computing distances of elements or sets |
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Implementations of operations specific to floating point types |
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Implementations of operations that will work for any type |
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This module contains functionalities to perform various interpolation methods for two dimensional data. |
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This type contains functionalities to perform various interpolation methods for two dimensional data. It summarizes functions contained within the interpolation module. |
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This type summarizes coefficient types from various interpolation methods. |
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Lets the user choose between 5 interpolation methods. One simply connects dots (LinearSpline), one forms a single interpolating polynomial (Polynomial, and three of them employ piecewise cubic polynomials. |
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Closed interval [Start,End] |
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Warning: IMPORTANT WARNING NOTICE: INTEL MATH KERNEL LIBRARY 9.1 FOR WINDOWS IS THIRD PARTY TECHNOLOGY. IT IS CLEARED ONLY FOR USE BY A SPECIFIC MSR RESEARCH TEAM. DO NOT USE IT UNTIL YOU HAVE CLEARED ITS USE FOR YOUR PROJECT WITH YOUR LEGAL CONTACT. The following stubs bind directly to Intel MKL functionality. You should not use them without: a) Intel MKL developer licenses. b) Seeking local legal approval. |
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Internal provider of Lapack functionality, not for direct user usage. |
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Internal provider of MKL functionality, not for direct user usage. |
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Module to compute common statistical measure on list |
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Module to strore specialised computations on maps |
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Operations module (automatically opened) |
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The value stored for the dictionary of numeric operations. If none is present then this indicates no operations are known for this type. |
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Module to estimate different quantile measures |
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Module to estimate different quantile measures |
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Uniform random number generators |
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The rank of a number is its size relative to other values in a sequence |
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Module to compute common statistical measure |
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Generic operations that, when used on floating point types, use the specialized versions in DoubleImpl |
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Module to compute common statistical measure on |
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