rove | MySQL Database Migration Tool Inspired by Liquibase | Database library
kandi X-RAY | rove Summary
kandi X-RAY | rove Summary
The description provides information about the changeset. It will be added as a value in the changelog table.
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Top functions reviewed by kandi - BETA
- main is the main function .
- parseToArray parses a file and returns a list of changes .
- Unmarshal unmarshals a struct into dst .
- ChangesetApplied returns the changeset .
- New creates a new MySQL instance
- parseArrayToMap converts a list of changes to a string map .
- NewConnection returns a new Connection instance .
- parseFileToMap returns a map of changes to a file .
- parseFileToArray parses a file and returns a list of changes .
- parseReaderToMap takes an io . Reader and parses it into a map .
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Trending Discussions on rove
QUESTION
So, I'm trying to fetch JSON results from https://api-thirukkural.vercel.app/api?num=1139 using Java-Telegram-Bot-Api and send it to telegram. I use com.google.code.gson dependency for parsing JSON.
The expected results from API:
...ANSWER
Answered 2022-Feb-08 at 14:50You need to specify the Charset on Scanner. That is probably the problem.
Example:
QUESTION
I have the following function:
...ANSWER
Answered 2020-May-17 at 07:58You could change it to something like this:
QUESTION
icheck-bootstrap is a pure css checkboxes and radio buttons for Twitter bootstrap. This implies it will work with any of the frontend libraries. At least that's the way I figured it... And indeed, his use from the readme of his github page for the library :Link to icheck-bootstrap demo with docs Does work it just has a side effect that I can live with.
In at lease one place where I'm trying to use this library, the component is in a modal dialog that is used to login to the site. Below is the html template code for the component:
...ANSWER
Answered 2020-Apr-04 at 07:36I have fix the problem I was having. The first part of the problem was that I was not asking the right question. I have edited the question to ask it in a better way, I think.
I have fixed the problem with the html below:
QUESTION
I am currently trying to learn machine learning techniques and wanted to recreate a simple image recognition algorithm with tensorflow. Therefore I made two Python-files: One for training and one for prediction.
Tested on Ubuntu 18.04 Used Python Version: 3.7 Used Numpy Version: 1.18.1 Used Tensorflow Version: 1.14 and 2.1.0 (outputs below are from Version 1.14)
My images are from http://www.cs.columbia.edu/CAVE/databases/pubfig/download/#dev The set consists of about 3000 images of cropped faces from 60 people.
train_model.py:
...ANSWER
Answered 2020-Jan-26 at 01:04Hey I believe you are getting strange predictions because your data distribution has 60 classes of people while your model is compiled with a loss function that is set to binary crossentropy.
Binary crossentropy is used to determine a max of 2 classes. What you need to do is change the loss function to categorical crossentropy.
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