- Added full support for regression models

- Functional models are now natively supported
- 'functional_support' argument removed from Scan()
- Removed master log feature
- Removed score_model to make way for adding full support for sklearn.metrics based scoring
- Added sklearn.metrics to ta.performance

setup.py

@@ -16,7 +16,7 @@
 URL = 'http://autonom.io'
 LICENSE = 'MIT'
 DOWNLOAD_URL = 'https://github.com/autonomio/talos/'
-VERSION = '0.4.3'
+VERSION = '0.4.4'
 
 try:
     from setuptools import setup

talos/__init__.py

@@ -5,12 +5,8 @@
 from .commands.evaluate import Evaluate
 from. commands.restore import Restore
 
-from .metrics.performance import Performance
 from .examples import datasets, params
 import astetik as plots
 from kerasplotlib import TrainingLog as live
 
-# del parameters, utils, scan
-# del Performance, reporting, reducers, metrics, examples
-
-__version__ = "0.4.3"
+__version__ = "0.4.4"

talos/scan/Scan.py

@@ -90,17 +90,18 @@ class Scan:
         The fraction of `params` that will be tested (Default is None).
     reduction_metric : {'val_acc'}
         Metric used to tune the reductions.
-    talos_log_name : str
-        The lame of the saved Talos log. (Default is 'talos.log').
-    debug : bool
-        Implements debugging feedback. (Default is False).
     x_val : ndarray
         User specified cross-validation data. (Default is None).
     y_val : ndarray
         User specified cross-validation labels. (Default is None).
+    last_epoch_value : bool
+        Set to True if the last epoch metric values are logged as opposed
+        to the default which is peak epoch values for each round.
     print_params : bool
         Print params for each round on screen (useful when using TrainingLog
         callback for visualization)
+    debug : bool
+        Implements debugging feedback. (Default is False).
 
     """
 
@@ -123,12 +124,10 @@ def __init__(self, x, y, params, model,
                  reduction_metric='val_acc',
                  reduce_loss=False,
                  last_epoch_value=False,
-                 talos_log_name='talos.log',
                  clear_tf_session=True,
-                 functional_model=False,
                  disable_progress_bar=False,
                  print_params=False,
-                 debug=False,):
+                 debug=False):
 
         # NOTE: these need to be follow the order from __init__
         # and all paramaters needs to be included here and only here.
@@ -153,12 +152,10 @@ def __init__(self, x, y, params, model,
         self.reduction_metric = reduction_metric
         self.reduce_loss = reduce_loss
         self.round_limit = round_limit
-        self.talos_log_name = talos_log_name
         self.debug = debug
         self.seed = seed
         self.clear_tf_session = clear_tf_session
         self.disable_progress_bar = disable_progress_bar
-        self.functional_model = functional_model
         self.last_epoch_value = last_epoch_value
         self.print_params = print_params
         # input parameters section ends

talos/scan/scan_prepare.py

@@ -5,7 +5,6 @@
 from ..parameters.ParamGrid import ParamGrid
 from ..utils.pred_class import classify
 from ..utils.last_neuron import last_neuron
-from ..utils.logging import debug_logging
 
 
 TRAIN_VAL_RUNTIME_ERROR_MSG = """
@@ -18,9 +17,6 @@ def scan_prepare(self):
     '''Includes all preparation procedures up until starting the first scan
     through scan_run()'''
 
-    # based on the 'debug' Scan() paramater
-    self = debug_logging(self)
-
     # create the name for the experiment
     if self.dataset_name is None:
         self.dataset_name = strftime('%D%H%M%S').replace('/', '')

talos/scan/scan_round.py

@@ -4,8 +4,6 @@
 from ..utils.results import create_header
 from ..metrics.entropy import epoch_entropy
 from ..model.ingest_model import ingest_model
-from ..metrics.score_model import get_score
-from ..utils.logging import write_log
 from ..utils.results import run_round_results, save_result
 from ..reducers.reduce_run import reduce_run
 from ..utils.exceptions import TalosReturnError, TalosTypeError
@@ -44,8 +42,7 @@ def scan_round(self):
         save_result(self)
 
     _hr_out = run_round_results(self, _hr_out)
-    self._val_score = get_score(self)
-    write_log(self)
+
     self.result.append(_hr_out)
     save_result(self)
 

talos/scan/scan_run.py

@@ -4,7 +4,6 @@
 from .scan_round import scan_round
 from .scan_finish import scan_finish
 
-
 def scan_run(self):
 
     '''The high-level management of the scan procedures

test/core_tests/test_scan.py

@@ -12,10 +12,7 @@
 
 from talos.scan.Scan import Scan
 from talos.commands.reporting import Reporting
-
 from talos.examples.models import iris_model, cervix_model
-
-# remotely hosted datasets
 from talos import datasets, params
 
 p1 = {'lr': [1],
@@ -78,8 +75,7 @@ def test_scan_iris_2(self):
         print("Running Iris dataset test 2...")
         Scan(self.x, self.y, params=p2, dataset_name='testing',
              experiment_no='000', model=iris_model,
-             last_epoch_value=True,
-             functional_model=True)
+             last_epoch_value=True)
 
     def test_scan_iris_explicit_validation_set(self):
         print("Running explicit validation dataset test with metric reduction")