The Learning/Optimization layer for XRTM.
Project description
xrtm-train v0.3.0
The Optimization Layer for XRTM.
xrtm-train provides backtesting, trace replay, and training sample construction for forecast evaluation.
Installation
pip install xrtm-train
Components
Backtester
Run an Agent against (question, resolution) pairs and compute Brier scores.
from xrtm.train import Backtester
BacktestRunner
Run a full Orchestrator workflow graph against a dataset with ECE and slice analytics.
from xrtm.train import BacktestRunner
TraceReplayer
Save and replay execution traces for reproducible evaluation.
from xrtm.train import TraceReplayer
TrainingSampleBuilder
Build training samples using Teacher Forcing (current prior = previous ground truth).
from xrtm.train.kit.builders import TrainingSampleBuilder
Dependencies
pydanticxrtm-dataxrtm-evalxrtm-forecast
License
Apache 2.0
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file xrtm_train-0.3.1.tar.gz.
File metadata
- Download URL: xrtm_train-0.3.1.tar.gz
- Upload date:
- Size: 22.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
443067e3e16d9d4e99cb5e42c4a08948f56707bf1ad56b54c8dffce5b0688f27
|
|
| MD5 |
d7779be79121e647a4d598d714c03506
|
|
| BLAKE2b-256 |
dd76e1ad98ef51bd6c30db274e4f66f5b4daaf91c3d0c3b01d94709c17aedb13
|
Provenance
The following attestation bundles were made for xrtm_train-0.3.1.tar.gz:
Publisher:
publish.yml on xrtm-org/train
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
xrtm_train-0.3.1.tar.gz -
Subject digest:
443067e3e16d9d4e99cb5e42c4a08948f56707bf1ad56b54c8dffce5b0688f27 - Sigstore transparency entry: 1874723295
- Sigstore integration time:
-
Permalink:
xrtm-org/train@01cf7bb8d7991e1713c62c827040fc1977042f7e -
Branch / Tag:
refs/tags/v0.3.1 - Owner: https://github.com/xrtm-org
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@01cf7bb8d7991e1713c62c827040fc1977042f7e -
Trigger Event:
release
-
Statement type:
File details
Details for the file xrtm_train-0.3.1-py3-none-any.whl.
File metadata
- Download URL: xrtm_train-0.3.1-py3-none-any.whl
- Upload date:
- Size: 24.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4c5ca91c2fd7ef2e503816c8d63acacfc89e01d17725684099c1479738933e35
|
|
| MD5 |
699046f18bda62e9f8d0bb021e10544b
|
|
| BLAKE2b-256 |
be8c8f0f2579fa50a18744eb01983f3cfe6c2060c1107f26471fc15ade936e90
|
Provenance
The following attestation bundles were made for xrtm_train-0.3.1-py3-none-any.whl:
Publisher:
publish.yml on xrtm-org/train
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
xrtm_train-0.3.1-py3-none-any.whl -
Subject digest:
4c5ca91c2fd7ef2e503816c8d63acacfc89e01d17725684099c1479738933e35 - Sigstore transparency entry: 1874723479
- Sigstore integration time:
-
Permalink:
xrtm-org/train@01cf7bb8d7991e1713c62c827040fc1977042f7e -
Branch / Tag:
refs/tags/v0.3.1 - Owner: https://github.com/xrtm-org
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@01cf7bb8d7991e1713c62c827040fc1977042f7e -
Trigger Event:
release
-
Statement type:
