epoch | A general purpose , real-time visualization library | Data Visualization library

by epochjs HTML Version: Current License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | epoch Summary

epoch is a HTML library typically used in Analytics, Data Visualization, React applications. epoch has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

By Ryan Sandor Richards. Epoch is a general purpose charting library for application developers and visualization designers. It focuses on two different aspects of visualization programming: basic charts for creating historical reports, and real-time charts for displaying frequently updating timeseries data. To get started using Epoch, please refer to the Epoch Project Site. There you can find full documentation and guides to help you start using Epoch right away.

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Support

epoch has a medium active ecosystem.

It has 5009 star(s) with 299 fork(s). There are 202 watchers for this library.

It had no major release in the last 6 months.

There are 66 open issues and 98 have been closed. On average issues are closed in 182 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of epoch is current.

Quality

epoch has no bugs reported.

Security

epoch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

epoch is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

epoch releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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epoch Key Features

No Key Features are available at this moment for epoch.

epoch Examples and Code Snippets

Try to load an epoch from the checkpoint .

python

Lines of Code : 25

License : Non-SPDX (Apache License 2.0)

Copy

def maybe_load_initial_epoch_from_ckpt(self, initial_epoch, mode):
    """Maybe load initial epoch from ckpt considering possible worker recovery.

    When `_ckpt_saved_epoch` attribute exists and is not
    `CKPT_SAVED_EPOCH_UNUSED_VALUE`, this is

Train one epoch .

python

Lines of Code : 21

License : Permissive (MIT License)

Copy

def train_one_epoch(self, sess, saver, init, writer, epoch, step):
        start_time = time.time()
        sess.run(init) 
        self.training = True
        total_loss = 0
        n_batches = 0
        try:
            while True:

Train one epoch .

python

Lines of Code : 21

License : Permissive (MIT License)

Copy

def train_one_epoch(self, sess, saver, init, writer, epoch, step):
        start_time = time.time()
        sess.run(init) 
        self.training = True
        total_loss = 0
        n_batches = 0
        try:
            while True:

Community Discussions

Trending Discussions on epoch

Not able to get reasonable results from DenseVariational

Model.evaluate returns 0 loss when using custom model

Modulus operator confusing

Time difference between an ISO 8601 date and now

How to add several binary classifiers at the end of a MLP with Keras?

Scala sortWith for java.sql.Timestamp sometimes will or won't compile when using two underscores

SHAP DeepExplainer with TensorFlow 2.4+ error

Why I am retrieving high value loss for neural network regression

How to calculate the f1-score?

Keras model not compiling

QUESTION

Not able to get reasonable results from DenseVariational

Asked 2021-Jun-15 at 16:05

I am trying a regression problem with the following dataset (sinusoidal curve) of size 500

First, I tried with 2 dense layer with 10 units each

...

ANSWER

Answered 2021-Mar-18 at 15:40

You need to define a different surrogate posterior. In Tensorflow's Bayesian linear regression example https://colab.research.google.com/github/tensorflow/probability/blob/master/tensorflow_probability/examples/jupyter_notebooks/Probabilistic_Layers_Regression.ipynb#scrollTo=VwzbWw3_CQ2z

you have the posterior mean field as such

Source https://stackoverflow.com/questions/66418959

QUESTION

Model.evaluate returns 0 loss when using custom model

Asked 2021-Jun-15 at 15:52

I am trying to use my own train step in with Keras by creating a class that inherits from Model. It seems that the training works correctly but the evaluate function always returns 0 on the loss even if I send to it the train data, which have a big loss value during the training. I can't share my code but was able to reproduce using the example form the Keras api in https://keras.io/guides/customizing_what_happens_in_fit/ I changed the Dense layer to have 2 units instead of one, and made its activation to sigmoid.

The code:

...

ANSWER

Answered 2021-Jun-12 at 17:27

As you manually use the loss and metrics function in the train_step (not in the .compile) for the training set, you should also do the same for the validation set or by defining the test_step in the custom model in order to get the loss score and metrics score. Add the following function to your custom model.

Source https://stackoverflow.com/questions/67951244

QUESTION

Modulus operator confusing

Asked 2021-Jun-15 at 13:18

Can someone please explain what the code below "if not epoch%display n epoch" means? My understanding is that if epoch / display has NO remainder, then print the statement. Could someone clarify this for me?

...

ANSWER

Answered 2021-Jun-15 at 13:18

Provided that it would be hard understanding the printed text due to lack of context, the module operator % in python simply returns the remainder of a division:

Source https://stackoverflow.com/questions/67986906

QUESTION

Time difference between an ISO 8601 date and now

Asked 2021-Jun-15 at 12:33

I have a comment section on my website and each message have its created_at date time. After fetching it from the MariaDB database, I get a string like "2021-06-15T12:45:28.000Z" (ISO 8601). Then, I convert it to a "x minutes ago" text instead of the full date.

But then, I'm having some trouble when the date is parsed.

...

ANSWER

Answered 2021-Jun-15 at 12:33

Try adding or subtracting the timezoneOffset of the local computer from the UTC you get when you pass Z

I fixed your plural too

Source https://stackoverflow.com/questions/67985747

QUESTION

How to add several binary classifiers at the end of a MLP with Keras?

Asked 2021-Jun-15 at 02:43

Say I have an MLP that looks like:

...

ANSWER

Answered 2021-Jun-15 at 02:43

In your problem you are trying to use Sequential API to create the Model. There are Limitations to Sequential API, you can just create a layer by layer model. It can't handle multiple inputs/outputs. It can't be used for Branching also.

Below is the text from Keras official website: https://keras.io/guides/functional_api/

The functional API makes it easy to manipulate multiple inputs and outputs. This cannot be handled with the Sequential API.

Also this stack link will be useful for you: Keras' Sequential vs Functional API for Multi-Task Learning Neural Network

Now you can create a Model using Functional API or Model Sub Classing.

In case of functional API Your Model will be

Assuming Output_1 is classification with 17 classes Output_2 is calssification with 2 classes and Output_3 is regression

Source https://stackoverflow.com/questions/67977986

QUESTION

Scala sortWith for java.sql.Timestamp sometimes will or won't compile when using two underscores

Asked 2021-Jun-14 at 23:28

I'm confused why a type that implements comparable isn't "implicitly comparable", and also why certain syntaxes of sortWith won't compile at all:

...

ANSWER

Answered 2021-Jun-11 at 10:35

// Works but won't sort eq millis
val records = iter.toArray.sortWith(_.event_time.getTime < _.event_time.getTime)

Source https://stackoverflow.com/questions/67929439

QUESTION

SHAP DeepExplainer with TensorFlow 2.4+ error

Asked 2021-Jun-14 at 14:52

I'm trying to compute shap values using DeepExplainer, but I get the following error:

keras is no longer supported, please use tf.keras instead

Even though i'm using tf.keras?

...

ANSWER

Answered 2021-Jun-14 at 14:52

TL;DR

Add tf.compat.v1.disable_v2_behavior() at the top for TF 2.4+

calculate shap values on numpy array, not on df

Full reproducible example:

Source https://stackoverflow.com/questions/66814523

QUESTION

Why I am retrieving high value loss for neural network regression

Asked 2021-Jun-14 at 13:45

I have data in the following format consisting of 80 instances. I need to predict two-parameter latency and accuracy

...

ANSWER

Answered 2021-Jun-14 at 13:45

You have very less data, just 2 columns, 80 rows and 2 target variables. All you can do is:

Add more data.
Normalize your data and then feed it to the neural network.
If neural network not giving good accuracy, try Random Forest or XGBoost.

I also want to add one thing that is your neural network architecture is wrong. Dense layer with 2 outputs and a softmax activation isn't going to give you good result here. You have to use TensorFlow's Funtional API and make 1 input 2 output neural network architecture.

Source https://stackoverflow.com/questions/67970580

QUESTION

How to calculate the f1-score?

Asked 2021-Jun-14 at 07:07

I have a pyTorch-code to train a model that should be able to detect placeholder-images among product-images. I didn't write the code by myself as I am very unexperienced with CNNs and Machine Learning.

My boss told me to calculate the f1-score for that model and i found out that the formula for that is ((precision * recall)/(precision + recall)) but I don't know how I get precision and recall. Is someone able to tell me how I can get those two parameters from that following code? (Sorry for the long piece of code, but I didn't really know what is necessary and what isn't)

...

ANSWER

Answered 2021-Jun-13 at 15:17

You can use sklearn to calculate f1_score

Source https://stackoverflow.com/questions/67959327

QUESTION

Keras model not compiling

Asked 2021-Jun-14 at 07:01

I am trying to build a Keras model for a classification model and I get and error while I am trying to fit the data.

ValueError: Shapes (None, 99) and (None, 2) are incompatible

Code:

...

ANSWER

Answered 2021-Jun-14 at 07:01

The no. of units in the last Dense layer must match the dimensionality of the outputs.

Source https://stackoverflow.com/questions/67964504

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install epoch

Epoch can be easily installed via the following package managers:. If you don't see your favorite package manager in the list above feel free to open up an issue and let us know. Finally, you can download any release of the library from the project releases page. Important: Epoch requires d3. In order to work properly your page must load d3 before epoch.
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Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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