kandi X-RAY | kge Summary
kandi X-RAY | kge Summary
LibKGE is a PyTorch-based library for efficient training, evaluation, and hyperparameter optimization of knowledge graph embeddings (KGE). It is highly configurable, easy to use, and extensible. Other KGE frameworks are listed below. The key goal of LibKGE is to foster reproducible research into (as well as meaningful comparisons between) KGE models and training methods. As we argue in our ICLR 2020 paper (see video), the choice of training strategy and hyperparameters are very influential on model performance, often more so than the model class itself. LibKGE aims to provide clean implementations of training, hyperparameter optimization, and evaluation strategies that can be used with any model. Every potential knob or heuristic implemented in the framework is exposed explicitly via well-documented configuration files (e.g., see here and here). LibKGE also provides the most common KGE models and new ones can be easily added (contributions welcome!). For link prediction tasks, rule-based systems such as AnyBURL are a competitive alternative to KGE.
Top functions reviewed by kandi - BETA
- Evaluate the model
- Print to console
- Absolute path to log file
- Log a message
- Run the trial
- Set key value
- Returns the path to the checkpoint file
- Check if s is a number
- Sets up Axes
- Compute the distance between two embeddings
- Creates a BCE with the given configuration
- Create a raw dataset
- Compute the frequency percentile of each dataset
- Returns the penalty tensor
- Perform grid search
- Process a single subbatch
- Computes the penalty
- Import a module
- Create a KgeModel instance
- Compute the score of the model
- Return a list of training entries for training
- Run training job
- Run training
- Score the model
- Run train job
- Create an argument parser
kge Key Features
kge Examples and Code Snippets
Trending Discussions on kge
ANSWERAnswered 2020-Nov-06 at 22:32
As you say, the problem is with this line:
I have a pandas DataFrame as follow:...
ANSWERAnswered 2020-Oct-25 at 14:51
Create a flag for each record, so you can use
groupby-all easily to determine if all flags are true in groups (
sta in your case). Subsequently, rows with qualified
sta values can be selected using
I was looking for a solution to draw side by side
R. Though there are lots of good solutions, however, I didn't come across any that i wanted. I decided to draw a picture of the
plot that i would like to see of my two
Data.frame C has my calibration data for the four models of different meterics (i.e., KGE, NSE, PBIAS, and R-Sq) while
Data.frame V has my validation data. I want to see a separate
plot of each metrics using
facet_wrap of the
ggplot2 functionality. Below is what i have done so far but its not taking me even closer.
ANSWERAnswered 2020-Jan-11 at 21:34
I think you need to split your
Variable before plotting in order to have one variable for M1, M2, M3 M4 and one variable for your conditions:
I received the following error when running
R CMD check:
Namespace dependencies not required: 'foreach' 'ggplot2' 'magrittr'
I've found a previous question and follow the answer there by making sure that the packages are included in the
Imports field of my DESCRIPTION file, but I still received the error.
Here is my DESCRIPTION file...
ANSWERAnswered 2018-Nov-30 at 09:58
When R CMD check runs, it built a binary package .zip file on the parent folder of the package's folder, and also a folder call pkgname.check. I think the next time R CMD check runs, it may not rebuild that folder or that file, depending on whether changes have been made in the package. I deleted those file and folder and rebuild, everything works.
I am trying to make my own reusable button class in SFML. This would allow me to create a button and add a callback function to it in order to make the creation of buttons much easier.
Here is my hpp file:...
ANSWERAnswered 2019-Mar-22 at 09:20
The issue was resolved in chat. To summarize, the
mouseIsIn function that @iProgram posted did not check collision correctly, leading to multiple buttons triggering at the same time.
The original function:
No vulnerabilities reported
You can use kge like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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