Accord.Statistics 3.5.4-alpha
Contains probability distributions, statistical models and methods such as Linear and Logistic regression, Hidden Markov Models, (Hidden) Conditional Random Fields, Principal Component Analysis, Partial Least Squares, Discriminant Analysis, Kernel methods and functions and many other related techniques. Provides methods for computing variances, standard deviations, averages, and many other statistical measures. This package is part of the Accord.NET Framework.
Showing the top 20 packages that depend on Accord.Statistics.
| Packages | Downloads |
|---|---|
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Accord.MachineLearning
Contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework.
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29 |
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Accord.Fuzzy
Contains Fuzzy logic tools, such as fuzzy sets, linguistic variables and inference systems. This package
originated from the AForge.NET Framework and is part of the Accord.NET Framework.
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26 |
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Accord.MachineLearning
Contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework.
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25 |
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QuantConnect.Algorithm.CSharp
QuantConnect LEAN Engine: Algorithm.CSharp Project - A collection of C# algorithm demonstrations for how to use the API
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25 |
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QuantConnect.Algorithm.Framework
QuantConnect LEAN Engine: Algorithm.Framework Project - The core QCAlgorithm framework implementation
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25 |
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Accord.MachineLearning
Contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework.
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24 |
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QuantConnect.Algorithm.CSharp
QuantConnect LEAN Engine: Algorithm.CSharp Project - A collection of C# algorithm demonstrations for how to use the API
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24 |
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QuantConnect.Algorithm.Framework
Lean Engine is an open-source, plataform agnostic C# and Python algorithmic trading engine. Allows strategy research, backtesting and live trading with Equities, FX, CFD, Crypto, Options and Futures Markets.
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24 |
Any 0.0
- Accord (>= 3.5.4-alpha)
- Accord.Math (>= 3.5.4-alpha)
| Version | Downloads | Last updated |
|---|---|---|
| 3.8.2-alpha | 26 | 04/13/2026 |
| 3.8.1-alpha | 22 | 04/13/2026 |
| 3.8.0 | 20 | 04/13/2026 |
| 3.7.3-alpha | 24 | 04/13/2026 |
| 3.7.2-alpha | 25 | 04/13/2026 |
| 3.7.1-alpha | 23 | 04/13/2026 |
| 3.7.0 | 19 | 04/13/2026 |
| 3.6.4-alpha | 25 | 04/13/2026 |
| 3.6.3-alpha | 23 | 04/13/2026 |
| 3.6.2-alpha | 23 | 04/13/2026 |
| 3.6.1-alpha | 22 | 04/13/2026 |
| 3.6.0 | 23 | 04/13/2026 |
| 3.5.4-alpha | 22 | 04/13/2026 |
| 3.5.3-alpha | 21 | 04/13/2026 |
| 3.5.2-alpha | 22 | 04/13/2026 |
| 3.5.1-alpha | 20 | 04/13/2026 |
| 3.5.0 | 19 | 04/13/2026 |
| 3.4.2-alpha | 24 | 04/13/2026 |
| 3.4.1-alpha | 20 | 04/13/2026 |
| 3.4.0 | 28 | 04/13/2026 |
| 3.3.2-alpha | 23 | 04/13/2026 |
| 3.3.1-alpha | 26 | 04/13/2026 |
| 3.3.0 | 24 | 04/13/2026 |
| 3.2.3-alpha | 18 | 04/13/2026 |
| 3.2.2-alpha | 24 | 04/13/2026 |
| 3.2.1-alpha | 28 | 04/13/2026 |
| 3.2.0 | 23 | 04/13/2026 |
| 3.1.0-alpha | 21 | 04/13/2026 |
| 3.0.2 | 23 | 04/13/2026 |
| 3.0.1-alpha | 25 | 04/13/2026 |
| 3.0.0-alpha | 24 | 04/13/2026 |
| 2.15.0 | 24 | 04/13/2026 |
| 2.14.6-alpha | 21 | 04/13/2026 |
| 2.14.5-alpha | 18 | 04/13/2026 |
| 2.14.4-alpha | 27 | 04/13/2026 |
| 2.14.3-alpha | 18 | 04/13/2026 |
| 2.14.2-alpha | 17 | 04/13/2026 |
| 2.14.1-alpha | 18 | 04/13/2026 |
| 2.14.0 | 21 | 04/13/2026 |
| 2.13.1 | 23 | 04/13/2026 |
| 2.12.0 | 18 | 04/13/2026 |
| 2.11.0 | 24 | 04/13/2026 |
| 2.10.0 | 20 | 04/13/2026 |
| 2.8.1 | 23 | 04/13/2026 |
| 2.8.0 | 25 | 04/13/2026 |
| 2.7.0 | 20 | 04/13/2026 |
| 2.6.1 | 20 | 04/13/2026 |
| 2.6.0.1 | 19 | 04/13/2026 |