LearningML version 1.3 available

Tranlations made by googe translator

From today, you can enjoy the New Version (1.3) of LearningML. I added new functionalities, aimed at exploring Machine Learning algorithms to understand them better. Until now, they were a black box over which the user had no control.

Among them is the incorporation of numerical data recognition, i.e., sets of numbers organized tabularly (as in spreadsheets). Thus, we will be able to create Machine Learning models from data sets (datasets). Obtained by reading experiments with sensors or from known datasets and openly available on the network. Such as: the iris dataset or the boston house dataset.

You can access this new version from the “Version 1.3 (beta)” button on the home page, which links to the following url: https://beta.learningml.org/editor.

Some of the new features introduced:

At the code level

• Separation of feature extraction and ML algorithm.

• Update lml-editor to Angular 12.

• Reorganization of the lml-scratch repos to sync with the develop branch of scratch.

• Implementation of a message protocol to request ML services from lml-scratch to lml-editor (lml-message-protocol).

• Simplification of lml-scratch code thanks to lml-message-protocol.

At the level of functionalities:

• Advanced mode

  • Selection of different Machine Learning algorithms. For now, the algorithms are offered: KNN and neural network.

  • Adjustment of the typical training parameters of each algorithm.

  • Definition (optional) of a percentage of training data for the calculation of a confusion matrix with which to evaluate the precision of the constructed model.

  • Visualization of a confusion matrix to evaluate the built model.

  • Visualization of the learning process for the neural network.

• And, recognition of numerical data sets.

  • Visualization of algorithm decision limits for two-dimensional numerical models.

Gradually, I will make new entries and practical activities to explain in more detail these new features. They are designed to make the operation of Machine Learning algorithms more intuitive. For now, you can see in the LearningML manual how they are used, although there is no pedagogical explanation.

It is important to keep in mind that this is a beta version, it may still have some bugs. If you find any error, send me a message through the contact form of this website. When this version is sufficiently debugged, it will become the stable version! and I will start working on the new beta.

And that’s all! I hope you enjoy the new features of this version.