PredictionIO

63
88
+ 1
5
Xcessiv

0
7
+ 1
0
Add tool

PredictionIO vs Xcessiv: What are the differences?

What is PredictionIO? Open Source Machine Learning Server. PredictionIO is an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery.

What is Xcessiv? Fully managed web application for automated machine learning. A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

PredictionIO and Xcessiv can be categorized as "Machine Learning" tools.

Some of the features offered by PredictionIO are:

  • Integrated with state-of-the-art machine learning algorithms. Fine-tune, evaluate and implement them scientifically.
  • Customize the modularized open codebase to fulfill any unique prediction requirement.
  • Built on top of scalable frameworks such as Hadoop and Cascading. Ready to handle data of any scale.

On the other hand, Xcessiv provides the following key features:

  • Fully define your data source, cross-validation process, relevant metrics, and base learners with Python code
  • Any model following the Scikit-learn API can be used as a base learner
  • Task queue based architecture lets you take full advantage of multiple cores and embarrassingly parallel hyperparameter searches

PredictionIO and Xcessiv are both open source tools. It seems that PredictionIO with 11.8K GitHub stars and 1.92K forks on GitHub has more adoption than Xcessiv with 1.19K GitHub stars and 95 GitHub forks.

Pros of PredictionIO
Pros of Xcessiv
    No pros available

    Sign up to add or upvote prosMake informed product decisions

    Sign up to add or upvote consMake informed product decisions

    What is PredictionIO?

    PredictionIO is an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery.

    What is Xcessiv?

    A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
    What companies use PredictionIO?
    What companies use Xcessiv?
      No companies found

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with PredictionIO?
      What tools integrate with Xcessiv?
        No integrations found
        What are some alternatives to PredictionIO and Xcessiv?
        TensorFlow
        TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
        Seldon
        Seldon is an Open Predictive Platform that currently allows recommendations to be generated based on structured historical data. It has a variety of algorithms to produce these recommendations and can report a variety of statistics.
        H2O
        H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark.
        Apache Spark
        Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
        Keras
        Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
        See all alternatives
        Interest over time