datagen | Java lib that generates random data
kandi X-RAY | datagen Summary
kandi X-RAY | datagen Summary
Java library to generate random data (numbers, strings, dates) - to facilitate Randomized Testing. Randomization may be used to improve coverage, but it can also speed up the process of writing & running tests. Some use cases for randomization:.
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Top functions reviewed by kandi - BETA
- Creates a random account
- Sample a collection of random elements
- Returns a new string with the letters of the original string
- Generate a number of possible combinations
- Converts a Person to a ProfileDto
- Create a Person from this object
- Generate random params
- Generate random boolean array
- Adds a new person
- Generates a random material
- Save a person
datagen Key Features
datagen Examples and Code Snippets
Lines of Code : 20License : Permissive (Apache-2.0)
Copyimport java.time.OffsetDateTime;
import static io.qala.datagen.RandomDate.beforeNow;
import static io.qala.datagen.RandomShortApi.*;
public class Dog {
private String name;
private OffsetDateTime timeOfBirth;
private double weight;
@Alphanumeric(min = 2, max = 29, name = "middle value")
@Alphanumeric(length = 30, name = "max boundary")
@English(max=30)
void eachAnnotationInvokesTheTestOnceAndPassesParameters(String value, String name) {
assertTrue(value.length() >= 1 &am import static io.qala.datagen.RandomShortApi.*;
Person person = new Person();
callOneOf(() -> person.firstName = english(5),
() -> person.lastName = english(5));
callNoneOrMore(() -> person.firstName = english(5),
Community Discussions
Trending Discussions on datagen
QUESTION
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 09:26QUESTION
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 14:00Because 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:
QUESTION
I'm using a dockerized version of the Confluent Platform v 7.0.1:
...ANSWER
Answered 2022-Feb-18 at 22:37You 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.
QUESTION
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 18:18IIUC, try:
QUESTION
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 09:17The 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:
QUESTION
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 20:40The 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!
QUESTION
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 15:42It seems like you need to create a custom Dataset.
QUESTION
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 14:54You could try using a preprocessing function in your ImageDataGenerator combined with tf.image.extract_patches:
QUESTION
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 11:08Change your fit function call to explicitly set the epoch parameter:
QUESTION
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 14:17Just add a dimension to the image with tf.expand_dims:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install datagen
You can use datagen like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the datagen component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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