PetrToman

Error when creating a new entity

4

Hello, running a basic create test fails. ``` ``` Running the script against _Odoo 15 Community_ produces error: "Uncaught Ang3\Component\Odoo\Exception\RemoteException: TypeError: create() takes 2 positional arguments but 3 were given"....

EncogCmd Wizard: Multiple target fields

1

Hi, it would be useful if multiple target fields could be specified in the EncogCmd Wizard, perhaps comma separated, for example: Enter value for [target field] (default=): ideal1, ideal2, ideal3...

Add AnalystNormalizeCSV.ExtractFields()

2

Please add AnalystNormalizeCSV.ExtractFields() method variant with a list parameter: ``` public static double[] ExtractFields(EncogAnalyst analyst, IList rawValues, CSVFormat format, int outputLength, bool skipOutput) ``` Usage scenario: 1. Create .ega and...

Workbench: Enhance evaluation for NN regression

4

1. In Workbench, create .ega file for NN regression - using data: http://dione.zcu.cz/~toman40/encog/data9.zip 2. Execute task-full and "Stop all commands" when task-train begins. 3. "Normalize to training" `data9_eval.csv`. 4. Double...

Performance tip

2

There is a number of places where manual array copy is done instead of using System.arraycopy(), which is much faster (the bigger the array, the faster: ~2x for m=10, ~15x...

Analyst Wizard: Multiple target fields

1

Hi, it would be useful if multiple target fields could be specified in the Analyst Wizard (Workbench), perhaps comma separated, for example: Target Field (blank for auto): ideal1, ideal2, ideal3...

Analyst: task-balance produces unbalanced training/eval sets

1

Task-balance (used in Workbench, for instance) produces unbalanced training and eval sets:  As depicted, `data_balance.csv` contains balanced ideal outputs (only two classes in this simplified example, i.e. y=0 or...

Workbench: GUI inconsistency

1

When training is run via Analyst (after clicking on .ega file), there is no graph plotting the current error and error improvement, in contrast to training run from BasicNetwork tab...

Implement a better SVMSearch algorithm

2

Currently, SVMSearch performs something like two nested for loops and tries to find a combination of parameters that satisfies the required maximum error. While it uses constant steps for both...

Learning curves are a useful tool to detect the bias/variance problem. See "X. ADVICE FOR APPLYING MACHINE LEARNING - Learning Curves" (12 min) video at http://www.ml-class.org/course/video/preview_list for a thorough explanation.