ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers.

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PhotosRevive PC 용. 카테고리: Photo & Video 최근 업데이트: 2019-09-25 현재 버전: 1.1.1 파일 크기: 145.33 MB 개발자: Jeremy Vizzini 호환성: 필요 Windows XP, Windows Vista, Windows 7, Windows 8, Windows 8.1. PhotosRevive automatically colorizes your old black and white photos. The application uses a revolutionary artificial intelligence that will add colors in an ultra-realistic way.

Release Notes

Dependencies

• .NETStandard 2.0

  • Microsoft.ML.CpuMath(>= 1.5.2)
  • Microsoft.ML.DataView(>= 1.5.2)
  • Newtonsoft.Json(>= 10.0.3)
  • System.CodeDom(>= 4.4.0)
  • System.Collections.Immutable(>= 1.5.0)
  • System.Memory(>= 4.5.1)
  • System.Reflection.Emit.Lightweight(>= 4.3.0)
  • System.Threading.Channels(>= 4.7.1)

Used By

NuGet packages (54)

Showing the top 5 NuGet packages that depend on Microsoft.ML:

GitHub repositories (15)

Showing the top 5 popular GitHub repositories that depend on Microsoft.ML:

Version History

Corelcad 2020 upgrade. Released:

Python Machine Learning Client for SAP HANA

Project description

Introduction

Welcome to the SAP HANA Python Client API for machine learning algorithms. This API enables Python data scientists to access SAP HANA data and build machine learning models using that data directly in SAP HANA.

Overview

The SAP HANA Python Client API for machine learning algorithms provides a set of client-side Python functions for accessing and querying SAP HANA data, and a set of functions for developing machine learning models.

The Python Client API for Machine Learning consists of two main parts:

• A set of machine learning APIs for different algorithms.

• The SAP HANA DataFrame, which provides a set of methods for analyzing data in SAP HANA without bringing the data to the client.

This set of APIs is composed of two packages:

• PAL package

• APL package

The Predictive Analysis Library (PAL) package consists of a set of Python algorithms and functions which provide access to the machine learning capabilities in SAP HANA. The PAL Python functions cover a variety of different machine learning algorithms for training a model and then the trained model is used for scoring. For details on which specific algorithms are available in this release, please refer to the documentation.

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The Automated Predictive Library (APL) package exposes the data mining capabilities of the Automated Analytics engine in SAP HANA through a set of functions. These functions develop a predictive modeling process that analysts can use to answer simple questions on their customer datasets stored in SAP HANA.

This Python library uses the SAP HANA Python driver (hdbcli) to connect to and access SAP HANA.

Getting Started

Install via

Quick Start

• For HANA tenant databases, use the port number 3NN13 (where NN is the SAP instance number - e.g. 30013).

• How to resize and print pictures on mac. For HANA system databases in a multitenant system, the port number is 3NN13.

• For HANA single-tenant databases, the port number is 3NN15.

  >>> from hana_ml import dataframe
  >>> conn = dataframe.ConnectionContext( address='<hostname>', port=3<NN>MM, user='<username>', password='<password>') Video editor robot 2 2.

Return a DataFrame referenced to SAP HANA table.

Return a DataFrame from select statement.

Convert to pandas DataFrame.

Convert to HANA DataFrame from pandas DataFrame.

Call SAP HANA Machine Learning Algorithms.

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Help

Dm1 the drum machine 3 0. See the [SAP HANA ML API Reference] (https://help.sap.com/doc/1d0ebfe5e8dd44d09606814d83308d4b/2.0.05/en-US/index.html) for details about developing with the SAP HANA ML API.

License

Villiers engine parts manual. The SAP HANA ML API is provided via the [SAP Developer License Agreement] (https://tools.hana.ondemand.com/developer-license-3_1.txt).

By using this software, you agree that the following text is incorporated into the terms of the Developer Agreement:

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2.6.20101606

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1.0.8.post11

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