com.intel.analytics.zoo:analytics-zoo-bigdl_0.8.0-spark_2.4.3

A distributed analytics library for Apache Spark.

License

License

GroupId

GroupId

com.intel.analytics.zoo
ArtifactId

ArtifactId

analytics-zoo-bigdl_0.8.0-spark_2.4.3
Last Version

Last Version

0.6.0
Release Date

Release Date

Type

Type

jar
Description

Description

A distributed analytics library for Apache Spark.

Download analytics-zoo-bigdl_0.8.0-spark_2.4.3

How to add to project

<!-- https://jarcasting.com/artifacts/com.intel.analytics.zoo/analytics-zoo-bigdl_0.8.0-spark_2.4.3/ -->
<dependency>
    <groupId>com.intel.analytics.zoo</groupId>
    <artifactId>analytics-zoo-bigdl_0.8.0-spark_2.4.3</artifactId>
    <version>0.6.0</version>
</dependency>
// https://jarcasting.com/artifacts/com.intel.analytics.zoo/analytics-zoo-bigdl_0.8.0-spark_2.4.3/
implementation 'com.intel.analytics.zoo:analytics-zoo-bigdl_0.8.0-spark_2.4.3:0.6.0'
// https://jarcasting.com/artifacts/com.intel.analytics.zoo/analytics-zoo-bigdl_0.8.0-spark_2.4.3/
implementation ("com.intel.analytics.zoo:analytics-zoo-bigdl_0.8.0-spark_2.4.3:0.6.0")
'com.intel.analytics.zoo:analytics-zoo-bigdl_0.8.0-spark_2.4.3:jar:0.6.0'
<dependency org="com.intel.analytics.zoo" name="analytics-zoo-bigdl_0.8.0-spark_2.4.3" rev="0.6.0">
  <artifact name="analytics-zoo-bigdl_0.8.0-spark_2.4.3" type="jar" />
</dependency>
@Grapes(
@Grab(group='com.intel.analytics.zoo', module='analytics-zoo-bigdl_0.8.0-spark_2.4.3', version='0.6.0')
)
libraryDependencies += "com.intel.analytics.zoo" % "analytics-zoo-bigdl_0.8.0-spark_2.4.3" % "0.6.0"
[com.intel.analytics.zoo/analytics-zoo-bigdl_0.8.0-spark_2.4.3 "0.6.0"]

Dependencies

compile (6)

Group / Artifact Type Version
joda-time : joda-time jar 2.9.9
com.intel.analytics.bigdl : bigdl-SPARK_2.4 jar 0.8.0
org.tensorflow : libtensorflow jar 1.13.1
org.tensorflow : proto jar 1.13.1
org.tensorflow : tensorflow-hadoop jar 1.13.1
com.intel.analytics.zoo : zoo-core-dist-all pom 0.6.0

provided (7)

Group / Artifact Type Version
org.scala-lang : scala-compiler jar 2.11.8
org.scala-lang : scala-reflect jar 2.11.8
org.scala-lang : scala-library jar 2.11.8
org.scala-lang : scala-actors jar 2.11.8
org.scala-lang : scalap jar 2.11.8
org.apache.spark : spark-core_2.11 jar 2.4.3
org.apache.spark : spark-mllib_2.11 jar 2.4.3

test (2)

Group / Artifact Type Version
org.scalatest : scalatest_2.11 jar 2.2.4
org.reflections : reflections jar 0.9.9-RC1

Project Modules

There are no modules declared in this project.


A unified Data Analytics and AI platform for distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray


What is Analytics Zoo?

Analytics Zoo seamless scales TensorFlow, Keras and PyTorch to distributed big data (using Spark, Flink & Ray).


  • End-to-end pipeline for applying AI models (TensorFlow, PyTorch, OpenVINO, etc.) to distributed big data

    • Write TensorFlow or PyTorch inline with Spark code for distributed training and inference.
    • Native deep learning (TensorFlow/Keras/PyTorch/BigDL) support in Spark ML Pipelines.
    • Directly run Ray programs on big data cluster through RayOnSpark.
    • Plain Java/Python APIs for (TensorFlow/PyTorch/BigDL/OpenVINO) Model Inference.
  • High-level ML workflow for automating machine learning tasks

    • Cluster Serving for automatically distributed (TensorFlow/PyTorch/Caffe/OpenVINO) model inference .
    • Scalable AutoML for time series prediction.
  • Built-in models for Recommendation, Time Series, Computer Vision and NLP applications.


Why use Analytics Zoo?

You may want to develop your AI solutions using Analytics Zoo if:

  • You want to easily apply AI models (e.g., TensorFlow, Keras, PyTorch, BigDL, OpenVINO, etc.) to distributed big data.
  • You want to transparently scale your AI applications from a single laptop to large clusters with "zero" code changes.
  • You want to deploy your AI pipelines to existing YARN or K8S clusters WITHOUT any modifications to the clusters.
  • You want to automate the process of applying machine learning (such as feature engineering, hyperparameter tuning, model selection, distributed inference, etc.).

How to use Analytics Zoo?

com.intel.analytics.zoo

Versions

Version
0.6.0
0.5.1
0.5.0