Accord.MachineLearning 2.14.1-alpha
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.
Showing the top 20 packages that depend on Accord.MachineLearning.
| Packages | Downloads |
|---|---|
|
QuantConnect.Algorithm.CSharp
QuantConnect LEAN Engine: Algorithm.CSharp Project - A collection of C# algorithm demonstrations for how to use the API
|
37 |
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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
|
36 |
|
QuantConnect.Algorithm.CSharp
Lean Engine is an open-source, platform 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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34 |
|
QuantConnect.Algorithm.CSharp
QuantConnect LEAN Engine: Algorithm.CSharp Project - A collection of C# algorithm demonstrations for how to use the API
|
34 |
|
QuantConnect.Algorithm.CSharp
QuantConnect LEAN Engine: Algorithm.CSharp Project - A collection of C# algorithm demonstrations for how to use the API
|
33 |
|
QuantConnect.Algorithm.CSharp
Lean Engine is an open-source, platform agnostic C# and Python algorithmic trading engine. Allows strategy research, backtesting and live trading with Equities, FX, CFD, Crypto, Options and Futures Markets.
|
33 |
|
QuantConnect.Algorithm.CSharp
Lean Engine is an open-source, platform agnostic C# and Python algorithmic trading engine. Allows strategy research, backtesting and live trading with Equities, FX, CFD, Crypto, Options and Futures Markets.
|
32 |
Any 0.0
- Accord (>= 2.14.1-alpha)
- Accord.Math (>= 2.14.1-alpha)
- Accord.Statistics (>= 2.14.1-alpha)
- AForge (>= 2.2.5)
| Version | Downloads | Last updated |
|---|---|---|
| 3.8.2-alpha | 31 | 04/13/2026 |
| 3.8.1-alpha | 26 | 04/13/2026 |
| 3.8.0 | 29 | 04/13/2026 |
| 3.7.3-alpha | 29 | 04/13/2026 |
| 3.7.2-alpha | 27 | 04/13/2026 |
| 3.7.1-alpha | 30 | 04/13/2026 |
| 3.7.0 | 36 | 04/13/2026 |
| 3.6.4-alpha | 25 | 04/13/2026 |
| 3.6.3-alpha | 24 | 04/13/2026 |
| 3.6.2-alpha | 26 | 04/13/2026 |
| 3.6.1-alpha | 24 | 04/13/2026 |
| 3.6.0 | 29 | 04/13/2026 |
| 3.5.4-alpha | 23 | 04/13/2026 |
| 3.5.3-alpha | 25 | 04/13/2026 |
| 3.5.2-alpha | 28 | 04/13/2026 |
| 3.5.1-alpha | 25 | 04/13/2026 |
| 3.5.0 | 29 | 04/13/2026 |
| 3.4.2-alpha | 28 | 04/13/2026 |
| 3.4.1-alpha | 26 | 04/13/2026 |
| 3.4.0 | 25 | 04/13/2026 |
| 3.3.2-alpha | 31 | 04/13/2026 |
| 3.3.1-alpha | 26 | 04/13/2026 |
| 3.3.0 | 29 | 04/13/2026 |
| 3.2.3-alpha | 24 | 04/13/2026 |
| 3.2.2-alpha | 27 | 04/13/2026 |
| 3.2.1-alpha | 25 | 04/13/2026 |
| 3.2.0 | 25 | 04/13/2026 |
| 3.1.0-alpha | 32 | 04/13/2026 |
| 3.0.2 | 28 | 04/13/2026 |
| 3.0.1-alpha | 35 | 04/13/2026 |
| 3.0.0-alpha | 24 | 04/13/2026 |
| 2.15.0 | 34 | 04/13/2026 |
| 2.14.6-alpha | 30 | 04/13/2026 |
| 2.14.5-alpha | 27 | 04/13/2026 |
| 2.14.4-alpha | 29 | 04/13/2026 |
| 2.14.3-alpha | 29 | 04/13/2026 |
| 2.14.2-alpha | 29 | 04/13/2026 |
| 2.14.1-alpha | 27 | 04/13/2026 |
| 2.14.0 | 25 | 04/13/2026 |
| 2.13.1 | 25 | 04/13/2026 |
| 2.12.0 | 24 | 04/13/2026 |
| 2.11.0 | 22 | 04/13/2026 |
| 2.10.0 | 27 | 04/13/2026 |
| 2.8.1 | 30 | 04/13/2026 |
| 2.8.0 | 26 | 04/13/2026 |
| 2.7.0 | 24 | 04/13/2026 |
| 2.6.1 | 26 | 04/13/2026 |
| 2.6.0.1 | 26 | 04/13/2026 |