Merge pull request #11023 from freqtrade/dependabot/pip/develop/xgboost-2.1.3

chore(deps): bump xgboost from 2.0.3 to 2.1.3

freqtrade/freqai/prediction_models/XGBoostRFRegressor.py

@@ -5,7 +5,6 @@ from xgboost import XGBRFRegressor
 
 from freqtrade.freqai.base_models.BaseRegressionModel import BaseRegressionModel
 from freqtrade.freqai.data_kitchen import FreqaiDataKitchen
-from freqtrade.freqai.tensorboard import TBCallback
 
 
 logger = logging.getLogger(__name__)
@@ -45,7 +44,12 @@ class XGBoostRFRegressor(BaseRegressionModel):
 
         model = XGBRFRegressor(**self.model_training_parameters)
 
-        model.set_params(callbacks=[TBCallback(dk.data_path)])
+        # Callbacks are not supported for XGBRFRegressor, and version 2.1.x started to throw
+        # the following error:
+        # NotImplementedError: `early_stopping_rounds` and `callbacks` are not implemented
+        # for random forest.
+
+        # model.set_params(callbacks=[TBCallback(dk.data_path)])
         model.fit(
             X=X,
             y=y,
@@ -55,6 +59,6 @@ class XGBoostRFRegressor(BaseRegressionModel):
             xgb_model=xgb_model,
         )
         # set the callbacks to empty so that we can serialize to disk later
-        model.set_params(callbacks=[])
+        # model.set_params(callbacks=[])
 
         return model

requirements-freqai.txt

@@ -10,6 +10,6 @@ catboost==1.2.7; 'arm' not in platform_machine
 # Temporary downgrade of matplotlib due to https://github.com/matplotlib/matplotlib/issues/28551
 matplotlib==3.9.3
 lightgbm==4.5.0
-xgboost==2.0.3
+xgboost==2.1.3
 tensorboard==2.18.0
 datasieve==0.1.7

tests/conftest.py

@@ -1,6 +1,7 @@
 # pragma pylint: disable=missing-docstring
 import json
 import logging
+import platform
 import re
 from copy import deepcopy
 from datetime import datetime, timedelta, timezone
@@ -517,6 +518,30 @@ def patch_gc(mocker) -> None:
     mocker.patch("freqtrade.main.gc_set_threshold")
 
 
+def is_arm() -> bool:
+    machine = platform.machine()
+    return "arm" in machine or "aarch64" in machine
+
+
+def is_mac() -> bool:
+    machine = platform.system()
+    return "Darwin" in machine
+
+
+@pytest.fixture(autouse=True)
+def patch_torch_initlogs(mocker) -> None:
+    if is_mac():
+        # Mock torch import completely
+        import sys
+        import types
+
+        module_name = "torch"
+        mocked_module = types.ModuleType(module_name)
+        sys.modules[module_name] = mocked_module
+    else:
+        mocker.patch("torch._logging._init_logs")
+
+
 @pytest.fixture(autouse=True)
 def user_dir(mocker, tmp_path) -> Path:
     user_dir = tmp_path / "user_data"

tests/freqai/conftest.py

@@ -1,4 +1,3 @@
-import platform
 import sys
 from copy import deepcopy
 from pathlib import Path
@@ -20,30 +19,6 @@ def is_py12() -> bool:
     return sys.version_info >= (3, 12)
 
 
-def is_mac() -> bool:
-    machine = platform.system()
-    return "Darwin" in machine
-
-
-def is_arm() -> bool:
-    machine = platform.machine()
-    return "arm" in machine or "aarch64" in machine
-
-
-@pytest.fixture(autouse=True)
-def patch_torch_initlogs(mocker) -> None:
-    if is_mac():
-        # Mock torch import completely
-        import sys
-        import types
-
-        module_name = "torch"
-        mocked_module = types.ModuleType(module_name)
-        sys.modules[module_name] = mocked_module
-    else:
-        mocker.patch("torch._logging._init_logs")
-
-
 @pytest.fixture(scope="function")
 def freqai_conf(default_conf, tmp_path):
     freqaiconf = deepcopy(default_conf)

tests/freqai/test_freqai_datakitchen.py

@@ -10,11 +10,10 @@ from freqtrade.configuration import TimeRange
 from freqtrade.data.dataprovider import DataProvider
 from freqtrade.exceptions import OperationalException
 from freqtrade.freqai.data_kitchen import FreqaiDataKitchen
-from tests.conftest import get_patched_exchange
+from tests.conftest import get_patched_exchange, is_mac
 from tests.freqai.conftest import (
     get_patched_data_kitchen,
     get_patched_freqai_strategy,
-    is_mac,
     make_unfiltered_dataframe,
 )
 

tests/freqai/test_freqai_interface.py

@@ -13,11 +13,16 @@ from freqtrade.freqai.utils import download_all_data_for_training, get_required_
 from freqtrade.optimize.backtesting import Backtesting
 from freqtrade.persistence import Trade
 from freqtrade.plugins.pairlistmanager import PairListManager
-from tests.conftest import EXMS, create_mock_trades, get_patched_exchange, log_has_re
-from tests.freqai.conftest import (
-    get_patched_freqai_strategy,
+from tests.conftest import (
+    EXMS,
+    create_mock_trades,
+    get_patched_exchange,
     is_arm,
     is_mac,
+    log_has_re,
+)
+from tests.freqai.conftest import (
+    get_patched_freqai_strategy,
     make_rl_config,
     mock_pytorch_mlp_model_training_parameters,
 )