prob renamed to stat

This commit is contained in:
Alexander Nozik 2020-10-28 09:16:21 +03:00
parent f8c3d1793c
commit dfa1bcaf01
29 changed files with 41 additions and 33 deletions

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@ -12,6 +12,7 @@
- A `Symbol` indexing scope.
- Basic optimization API for Commons-math.
- Chi squared optimization for array-like data in CM
- `Fitting` utility object in prob/stat
### Changed
- Package changed from `scientifik` to `kscience.kmath`.
@ -21,6 +22,7 @@
- Kotlin version: 1.3.72 -> 1.4.20-M1
- `kmath-ast` doesn't depend on heavy `kotlin-reflect` library.
- Full autodiff refactoring based on `Symbol`
- `kmath-prob` renamed to `kmath-stat`
### Deprecated

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@ -99,7 +99,7 @@ can be used for a wide variety of purposes from high performance calculations to
> - [buffers](kmath-core/src/commonMain/kotlin/kscience/kmath/structures/Buffers.kt) : One-dimensional structure
> - [expressions](kmath-core/src/commonMain/kotlin/kscience/kmath/expressions) : Functional Expressions
> - [domains](kmath-core/src/commonMain/kotlin/kscience/kmath/domains) : Domains
> - [autodif](kmath-core/src/commonMain/kotlin/kscience/kmath/misc/AutoDiff.kt) : Automatic differentiation
> - [autodif](kmath-core/src/commonMain/kotlin/kscience/kmath/expressions/SimpleAutoDiff.kt) : Automatic differentiation
<hr/>
@ -151,7 +151,7 @@ can be used for a wide variety of purposes from high performance calculations to
> **Maturity**: EXPERIMENTAL
<hr/>
* ### [kmath-prob](kmath-prob)
* ### [kmath-stat](kmath-stat)
>
>
> **Maturity**: EXPERIMENTAL
@ -201,4 +201,4 @@ with the same artifact names.
## Contributing
The project requires a lot of additional work. Please feel free to contribute in any way and propose new features.
The project requires a lot of additional work. The most important thing we need is a feedback about what features are required the most. Feel free to open feature issues with requests. We are also welcome to code contributions, especially in issues marked as [waiting for a hero](https://github.com/mipt-npm/kmath/labels/waiting%20for%20a%20hero).

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@ -2,7 +2,7 @@ plugins {
id("ru.mipt.npm.project")
}
val kmathVersion: String by extra("0.2.0-dev-2")
val kmathVersion: String by extra("0.2.0-dev-3")
val bintrayRepo: String by extra("kscience")
val githubProject: String by extra("kmath")

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@ -23,7 +23,7 @@ dependencies {
implementation(project(":kmath-core"))
implementation(project(":kmath-coroutines"))
implementation(project(":kmath-commons"))
implementation(project(":kmath-prob"))
implementation(project(":kmath-stat"))
implementation(project(":kmath-viktor"))
implementation(project(":kmath-dimensions"))
implementation(project(":kmath-ejml"))

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@ -4,7 +4,7 @@ import kotlinx.coroutines.Dispatchers
import kotlinx.coroutines.async
import kotlinx.coroutines.runBlocking
import kscience.kmath.chains.BlockingRealChain
import kscience.kmath.prob.*
import kscience.kmath.stat.*
import org.apache.commons.rng.sampling.distribution.ZigguratNormalizedGaussianSampler
import org.apache.commons.rng.simple.RandomSource
import java.time.Duration

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@ -3,9 +3,9 @@ package kscience.kmath.commons.prob
import kotlinx.coroutines.runBlocking
import kscience.kmath.chains.Chain
import kscience.kmath.chains.collectWithState
import kscience.kmath.prob.Distribution
import kscience.kmath.prob.RandomGenerator
import kscience.kmath.prob.normal
import kscience.kmath.stat.Distribution
import kscience.kmath.stat.RandomGenerator
import kscience.kmath.stat.normal
private data class AveragingChainState(var num: Int = 0, var value: Double = 0.0)

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@ -6,7 +6,7 @@ description = "Commons math binding for kmath"
dependencies {
api(project(":kmath-core"))
api(project(":kmath-coroutines"))
api(project(":kmath-prob"))
api(project(":kmath-stat"))
api(project(":kmath-functions"))
api("org.apache.commons:commons-math3:3.6.1")
}

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@ -1,6 +1,10 @@
package kscience.kmath.commons.optimization
import kscience.kmath.expressions.*
import kscience.kmath.stat.OptimizationFeature
import kscience.kmath.stat.OptimizationProblem
import kscience.kmath.stat.OptimizationProblemFactory
import kscience.kmath.stat.OptimizationResult
import org.apache.commons.math3.optim.*
import org.apache.commons.math3.optim.nonlinear.scalar.GoalType
import org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer

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@ -4,7 +4,9 @@ import kscience.kmath.commons.expressions.DerivativeStructureField
import kscience.kmath.expressions.DifferentiableExpression
import kscience.kmath.expressions.Expression
import kscience.kmath.expressions.Symbol
import kscience.kmath.prob.Fitting
import kscience.kmath.stat.Fitting
import kscience.kmath.stat.OptimizationResult
import kscience.kmath.stat.optimizeWith
import kscience.kmath.structures.Buffer
import kscience.kmath.structures.asBuffer
import org.apache.commons.math3.analysis.differentiation.DerivativeStructure

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@ -1,6 +1,6 @@
package kscience.kmath.commons.random
import kscience.kmath.prob.RandomGenerator
import kscience.kmath.stat.RandomGenerator
public class CMRandomGeneratorWrapper(
public val factory: (IntArray) -> RandomGenerator,

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@ -2,10 +2,10 @@ package kscience.kmath.commons.optimization
import kscience.kmath.commons.expressions.DerivativeStructureExpression
import kscience.kmath.expressions.symbol
import kscience.kmath.prob.Distribution
import kscience.kmath.prob.Fitting
import kscience.kmath.prob.RandomGenerator
import kscience.kmath.prob.normal
import kscience.kmath.stat.Distribution
import kscience.kmath.stat.Fitting
import kscience.kmath.stat.RandomGenerator
import kscience.kmath.stat.normal
import kscience.kmath.structures.asBuffer
import org.junit.jupiter.api.Test
import kotlin.math.pow

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@ -7,7 +7,7 @@ The core features of KMath:
- [buffers](src/commonMain/kotlin/kscience/kmath/structures/Buffers.kt) : One-dimensional structure
- [expressions](src/commonMain/kotlin/kscience/kmath/expressions) : Functional Expressions
- [domains](src/commonMain/kotlin/kscience/kmath/domains) : Domains
- [autodif](src/commonMain/kotlin/kscience/kmath/misc/AutoDiff.kt) : Automatic differentiation
- [autodif](src/commonMain/kotlin/kscience/kmath/expressions/SimpleAutoDiff.kt) : Automatic differentiation
> #### Artifact:

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@ -41,6 +41,6 @@ readme {
feature(
id = "autodif",
description = "Automatic differentiation",
ref = "src/commonMain/kotlin/kscience/kmath/misc/SimpleAutoDiff.kt"
ref = "src/commonMain/kotlin/kscience/kmath/expressions/SimpleAutoDiff.kt"
)
}

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@ -1,4 +1,4 @@
package kscience.kmath.prob
package kscience.kmath.stat
import kscience.kmath.chains.Chain
import kscience.kmath.chains.collect

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@ -1,4 +1,4 @@
package kscience.kmath.prob
package kscience.kmath.stat
import kscience.kmath.chains.Chain
import kscience.kmath.chains.SimpleChain

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@ -1,4 +1,4 @@
package kscience.kmath.prob
package kscience.kmath.stat
import kscience.kmath.expressions.*
import kscience.kmath.operations.ExtendedField

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@ -1,4 +1,4 @@
package kscience.kmath.commons.optimization
package kscience.kmath.stat
import kscience.kmath.expressions.DifferentiableExpression
import kscience.kmath.expressions.Expression

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@ -1,4 +1,4 @@
package kscience.kmath.prob
package kscience.kmath.stat
import kscience.kmath.chains.Chain

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@ -1,4 +1,4 @@
package kscience.kmath.prob
package kscience.kmath.stat
import kotlin.random.Random

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@ -1,4 +1,4 @@
package kscience.kmath.prob
package kscience.kmath.stat
import kscience.kmath.chains.Chain
import kscience.kmath.chains.ConstantChain

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@ -1,4 +1,4 @@
package kscience.kmath.prob
package kscience.kmath.stat
import kotlinx.coroutines.CoroutineDispatcher
import kotlinx.coroutines.Dispatchers

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@ -1,4 +1,4 @@
package kscience.kmath.prob
package kscience.kmath.stat
import kscience.kmath.chains.Chain
import kscience.kmath.chains.SimpleChain

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@ -1,4 +1,4 @@
package kscience.kmath.prob
package kscience.kmath.stat
import org.apache.commons.rng.UniformRandomProvider
import org.apache.commons.rng.simple.RandomSource

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@ -1,4 +1,4 @@
package kscience.kmath.prob
package kscience.kmath.stat
import kscience.kmath.chains.BlockingIntChain
import kscience.kmath.chains.BlockingRealChain

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@ -1,4 +1,4 @@
package kscience.kmath.prob
package kscience.kmath.stat
import kotlinx.coroutines.flow.take
import kotlinx.coroutines.flow.toList

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@ -1,4 +1,4 @@
package kscience.kmath.prob
package kscience.kmath.stat
import kotlinx.coroutines.runBlocking
import kotlin.test.Test

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@ -1,4 +1,4 @@
package kscience.kmath.prob
package kscience.kmath.stat
import kotlinx.coroutines.flow.drop
import kotlinx.coroutines.flow.first

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@ -34,7 +34,7 @@ include(
":kmath-histograms",
":kmath-commons",
":kmath-viktor",
":kmath-prob",
":kmath-stat",
":kmath-dimensions",
":kmath-for-real",
":kmath-geometry",