Skip to main content
Join the official 2019 Python Developers SurveyStart the survey!

Dynamic visualization training service in Jupyter Notebook for Keras tf.keras and others.

Project description

Dynamic visualization training service in Jupyter Notebook for Keras, tf.keras and others.

PyPI version Github license PyPI PyPI format contributors downloads

Tensorview is efficient visualization training packages of Keras, enabling the live visualization of loss function and metrics during training process.

Tensorview is process in the Jupyter Notebook, so we recommend Jupyter Notebook as Tensorview's developing environment.

| API Document | API文档 | 中文介绍 |

Installation

To install this verson from PyPI, type:

pip install tensorview

To get the newest one from this repo (note that we are in the alpha stage, so there may be frequent updates), type:

pip install git+git://github.com/Hourout/tensorview.git

Feature

  • Visualization of general machine learning training

    • Support customizing the name of loss function and metric
    • Support customizing the name of validation set
    • Support displaying the result of training set and test set in the same plot
    • Support setting maximum training number of iterations
    • Support both batch way and epoch way to train
    • Support visual plotting
    • Support visual plotting in both batch way and epoch way periodically
  • keras backend

    • Support customizing the name of loss function and metric in epoch way
    • Support customizing the name of validation set in epoch way
    • Support displaying the result of training set and test set in the same plot in epoch way
    • Support setting maximum training number of iterations in epoch way
    • Support visual plotting in epoch way
    • Support visual plotting in both batch way and epoch way periodically in epoch way
    • Support customizing the name of loss function and metric in batch way
    • Support customizing the name of validation set in batch way
    • Support displaying the result of training set and test set in the same plot in batch way
    • Support setting maximum training number of iterations in batch way
    • Support visual plotting in batch way
    • Support visual plotting in both batch way and epoch way periodically in batch way

Example

more example

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for tensorview, version 0.4.1
Filename, size File type Python version Upload date Hashes
Filename, size tensorview-0.4.1-py2.py3-none-any.whl (19.4 kB) File type Wheel Python version py2.py3 Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page