datagen | Generate datastructures for your types

by aybabtme Go Version: 0.1.5 License: MIT

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

kandi X-RAY | datagen Summary

datagen is a Go library. datagen has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Generate datastructures for your types.

Support

Quality

Security

License

Reuse

Support

datagen has a low active ecosystem.

It has 77 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of datagen is 0.1.5

Quality

datagen has 0 bugs and 0 code smells.

Security

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

datagen code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

datagen 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

datagen releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

It has 8824 lines of code, 780 functions and 51 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed datagen and discovered the below as its top functions. This is intended to give you an instant insight into datagen implemented functionality, and help decide if they suit your requirements.

replaceHeapCompareFunc is the same as replaceHeapCompareFunc but returns - 1 if a .
replace Rbst Compare function
sortedMap sets a sorted map
sortedSet creates a sorted set command
apap creates a heap command
queue creates a cli queue command
main is the main entry point for testing
valOrDefault returns the value of the given flag . If the value is empty default is returned .
generatedCodeComment returns the comment for the generated code .
NewHeap creates a new heap with the given keys .

Get all kandi verified functions for this library.

datagen Key Features

No Key Features are available at this moment for datagen.

datagen Examples and Code Snippets

No Code Snippets are available at this moment for datagen.

Community Discussions

Trending Discussions on datagen

Keras ImageDataGenerator validation_split does not split validation data as expected

Unknown metric function: Please ensure this object is passed to the `custom_objects` argument

Confluent Platform - how to properly use ksql-datagen?

Getting a maximum of 2 values of a column based on having same values in the first field using pandas dataframe

Error : Input to reshape is a tensor with 327680 values, but the requested shape requires a multiple of 25088

CNN program has been computing for too long and not giving any output

Pytorch features and classes from .npy files

ImageDataGenerator that outputs patches instead of full image

Tensorflow: `y` argument is not supported when using `keras.utils.Sequence` as input

Channel width not displayed for data augmentation of Grayscale image

QUESTION

Keras ImageDataGenerator validation_split does not split validation data as expected

Asked 2022-Apr-05 at 09:26

I'm trying to learn about Computer Vision in Machine Learning with Tensorflow and Keras

I have a directory that contains 4185 images I got from https://www.kaggle.com/datasets/smaranjitghose/corn-or-maize-leaf-disease-dataset (I intentionally removed 3 images)

I have this code containing listdir() to check if it's true:

...

ANSWER

Answered 2022-Apr-05 at 09:26

The data is split for each folder (class) and not on the entire dataset. Check the source code here and here to understand more. Here is an example of what flow_from_directory is doing internally:

Source https://stackoverflow.com/questions/71744605

QUESTION

Unknown metric function: Please ensure this object is passed to the `custom_objects` argument

Asked 2022-Mar-31 at 01:14

I have trained a model with keras using transfer learning. since the whole code is almost big i only bring important parts.

For learning rate I cloned from github some code to be able to use cyclic learning rate. and passed it to the model as callback.

Here is how I defined my learning rate.

...

ANSWER

Answered 2021-Aug-25 at 14:00

Because as the error says you didn't call it lr, you called it

lr_track in lr_track = get_lr_metric(opt), you never defined lr.

you need to call it like this:

Source https://stackoverflow.com/questions/68923962

QUESTION

Confluent Platform - how to properly use ksql-datagen?

Asked 2022-Mar-14 at 19:57

I'm using a dockerized version of the Confluent Platform v 7.0.1:

...

ANSWER

Answered 2022-Feb-18 at 22:37

You may be hitting issues since you are running an old version of ksqlDB's quickstart (0.7.1) with Confluent Platform 7.0.1.

If you check out a quick start like this one: https://ksqldb.io/quickstart-platform.html, things may work better.

I looked for an updated version of that data generator and didn't find it quickly. If you are looking for more info about structured data, give https://docs.ksqldb.io/en/latest/how-to-guides/query-structured-data/ a read.

Source https://stackoverflow.com/questions/71177830

QUESTION

Getting a maximum of 2 values of a column based on having same values in the first field using pandas dataframe

Asked 2022-Mar-11 at 18:18

I have three separate columns: Link_Id, NEW, Length in a data frame.

I want to group similar Link_Ids together and then collect their Length values, out of those having the maximum Length value I want to return their (Link_Id) and (NEW) column values.

...

ANSWER

Answered 2022-Mar-11 at 18:18

IIUC, try:

Source https://stackoverflow.com/questions/71442788

QUESTION

Error : Input to reshape is a tensor with 327680 values, but the requested shape requires a multiple of 25088

Asked 2022-Feb-15 at 09:17

I am facing an error while running my model.

Input to reshape is a tensor with 327680 values, but the requested shape requires a multiple of 25088

I am using (256 * 256) images. I am reading the images from drive in google colab. Can anyone tell me how to get rid of this error?

my colab code:

...

ANSWER

Answered 2022-Feb-15 at 09:17

The problem is the default shape used for the VGG19 model. You can try replacing the input shape and applying a Flatten layer just before the output layer. Here is a working example:

Source https://stackoverflow.com/questions/71123226

QUESTION

CNN program has been computing for too long and not giving any output

Asked 2022-Feb-07 at 17:26

I've implemented the following code in Jupyter notebook, and it has been over 90 mins, the programme is still running, and I've not gotten any output.

I'm working with mid-2012 MacBook Pro. 4 GB ram. I've checked the activity monitor, memory pressure is in the yellow zone, so that means, the means, the mac is not running out of memory, and I don't know what to do now.

The program implements CNN model over CIFAR-10 dataset.

...

ANSWER

Answered 2022-Feb-06 at 20:40

The reason your model is taking so long to train is because:

You are training a large model with many layers for 100 epochs
You are using a relatively low performance computer (from what I found googling it only has a 2.5 GHZ processor.)

You can make it train faster by using an a free cloud environment that has GPUs and TPUs like Google Colab (https://colab.research.google.com/), or even better a Kaggle notebook which allows you to train for longer periods of time. If you want to run it on your mac you could try making the model smaller or decreasing the number of epochs you are training for.

It should be easy to port your notebook to a Google Colab or Kaggle notebook. You will need to create a google account for Google Colab or a seperate account for Kaggle.

Hope this helped!

Source https://stackoverflow.com/questions/71009636

QUESTION

Pytorch features and classes from .npy files

Asked 2022-Jan-31 at 16:06

I am very rookie in moving from TensorFlow to Pytorch. In tensorflow, I can simply load features and labels from separate .npy files and train a CNN using them. It is simple as below:

...

ANSWER

Answered 2022-Jan-31 at 15:42

It seems like you need to create a custom Dataset.

Source https://stackoverflow.com/questions/70925539

QUESTION

ImageDataGenerator that outputs patches instead of full image

Asked 2021-Dec-20 at 17:48

I have a big dataset that I want to use to train a CNN with Keras (too big to load it in memory). I always train using ImageDataGenerator.flow_from_dataframe, as I have my images across different directories, as shown below.

...

ANSWER

Answered 2021-Nov-01 at 14:54

You could try using a preprocessing function in your ImageDataGenerator combined with tf.image.extract_patches:

Source https://stackoverflow.com/questions/69752833

QUESTION

Tensorflow: `y` argument is not supported when using `keras.utils.Sequence` as input

Asked 2021-Dec-17 at 15:02

I am creating a mask_detection model on 3 classes "CorrectMask", "UncorrectMask", "NoMask". I am creating my CNN, but I have the following error:

...

ANSWER

Answered 2021-Nov-28 at 11:08

Change your fit function call to explicitly set the epoch parameter:

Source https://stackoverflow.com/questions/70142769

QUESTION

Channel width not displayed for data augmentation of Grayscale image

Asked 2021-Dec-16 at 14:17

I have a grayscale image and want to perform augumentation methods using Keras. Problem: After importing the image, it is missing the channel width from it's dimension and thus facing a problem for ImageDataGenerator.

...

ANSWER

Answered 2021-Dec-16 at 14:17

Just add a dimension to the image with tf.expand_dims:

Source https://stackoverflow.com/questions/70376976

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