From 44caba1a7340f30453dc5754aa6fd4be027b01b3 Mon Sep 17 00:00:00 2001
From: Kajanan Selvanesan <kajananselvanesan@gmail.com>
Date: Sun, 12 May 2024 16:25:24 +0530
Subject: [PATCH 1/2] refactor: Rename src to ibat

---
 examples/concept_drift_detector/adwin.py                    | 4 ++--
 examples/concept_drift_detector/ddm.py                      | 4 ++--
 examples/concept_drift_detector/page_hinkley.py             | 4 ++--
 examples/pipeline.py                                        | 6 +++---
 {src => ibat}/__init__.py                                   | 0
 {src => ibat}/_pipeline.py                                  | 6 +++---
 {src => ibat}/concept_drift_detector/__init__.py            | 0
 .../concept_drift_detector/concept_drift_detector.py        | 4 ++--
 {src => ibat}/concept_drift_detector/strategies/__init__.py | 0
 {src => ibat}/concept_drift_detector/strategies/adwin.py    | 2 +-
 {src => ibat}/concept_drift_detector/strategies/ddm.py      | 4 ++--
 .../concept_drift_detector/strategies/istrategy.py          | 2 +-
 .../concept_drift_detector/strategies/page_hinkley.py       | 2 +-
 {src => ibat}/datasets/__init__.py                          | 0
 {src => ibat}/datasets/_datasets/bus_dwell_times_654.csv    | 0
 {src => ibat}/datasets/_datasets/bus_running_times_654.csv  | 0
 .../_datasets/bus_running_times_feature_added_all.csv       | 0
 .../datasets/_datasets/bus_stop_times_feature_added_all.csv | 0
 .../_datasets/bus_stop_times_feature_encoded_all.csv        | 0
 {src => ibat}/datasets/datasets.py                          | 0
 {src => ibat}/log_handler.py                                | 0
 {src => ibat}/models/__init__.py                            | 0
 {src => ibat}/models/base_models/__init__.py                | 0
 {src => ibat}/models/base_models/base_models.py             | 2 +-
 {src => ibat}/models/base_models/ensemble/__init__.py       | 0
 {src => ibat}/models/base_models/ensemble/adaboost.py       | 2 +-
 {src => ibat}/models/base_models/ensemble/decision_tree.py  | 2 +-
 {src => ibat}/models/base_models/ensemble/hoeffding_tree.py | 2 +-
 {src => ibat}/models/base_models/ensemble/random_forest.py  | 2 +-
 {src => ibat}/models/base_models/ensemble/sgt.py            | 2 +-
 .../models/base_models/ensemble/streaming_random_patches.py | 2 +-
 {src => ibat}/models/base_models/ensemble/xgboost.py        | 2 +-
 {src => ibat}/models/base_models/ibase_model.py             | 0
 {src => ibat}/models/base_models/linear_model/__init__.py   | 0
 .../models/base_models/linear_model/linear_river_many.py    | 2 +-
 .../models/base_models/linear_model/passive_aggressive.py   | 2 +-
 {src => ibat}/models/base_models/linear_model/perceptron.py | 2 +-
 {src => ibat}/models/base_models/linear_model/sgd.py        | 2 +-
 {src => ibat}/models/base_models/naive_bayes/__init__.py    | 0
 {src => ibat}/models/base_models/naive_bayes/naive_bayes.py | 2 +-
 .../models/base_models/naive_bayes/naive_bayes_river.py     | 2 +-
 {src => ibat}/models/base_models/nn/__init__.py             | 0
 {src => ibat}/models/base_models/nn/convlstm.py             | 0
 {src => ibat}/models/base_models/nn/mlp.py                  | 2 +-
 {src => ibat}/models/base_models/nn/mlp_river.py            | 2 +-
 {src => ibat}/models/use_cases/__init__.py                  | 0
 {src => ibat}/models/use_cases/arrival_time/__init__.py     | 0
 {src => ibat}/models/use_cases/arrival_time/bus/__init__.py | 0
 {src => ibat}/models/use_cases/arrival_time/bus/mme4bat.py  | 6 +++---
 {src => ibat}/models/use_cases/dwell_time/__init__.py       | 0
 {src => ibat}/models/use_cases/dwell_time/bus/__init__.py   | 0
 {src => ibat}/models/use_cases/dwell_time/bus/mme4bdt.py    | 6 +++---
 {src => ibat}/pipeline.py                                   | 4 ++--
 setup.py                                                    | 6 ++----
 54 files changed, 45 insertions(+), 47 deletions(-)
 rename {src => ibat}/__init__.py (100%)
 rename {src => ibat}/_pipeline.py (99%)
 rename {src => ibat}/concept_drift_detector/__init__.py (100%)
 rename {src => ibat}/concept_drift_detector/concept_drift_detector.py (81%)
 rename {src => ibat}/concept_drift_detector/strategies/__init__.py (100%)
 rename {src => ibat}/concept_drift_detector/strategies/adwin.py (94%)
 rename {src => ibat}/concept_drift_detector/strategies/ddm.py (96%)
 rename {src => ibat}/concept_drift_detector/strategies/istrategy.py (85%)
 rename {src => ibat}/concept_drift_detector/strategies/page_hinkley.py (94%)
 rename {src => ibat}/datasets/__init__.py (100%)
 rename {src => ibat}/datasets/_datasets/bus_dwell_times_654.csv (100%)
 rename {src => ibat}/datasets/_datasets/bus_running_times_654.csv (100%)
 rename {src => ibat}/datasets/_datasets/bus_running_times_feature_added_all.csv (100%)
 rename {src => ibat}/datasets/_datasets/bus_stop_times_feature_added_all.csv (100%)
 rename {src => ibat}/datasets/_datasets/bus_stop_times_feature_encoded_all.csv (100%)
 rename {src => ibat}/datasets/datasets.py (100%)
 rename {src => ibat}/log_handler.py (100%)
 rename {src => ibat}/models/__init__.py (100%)
 rename {src => ibat}/models/base_models/__init__.py (100%)
 rename {src => ibat}/models/base_models/base_models.py (98%)
 rename {src => ibat}/models/base_models/ensemble/__init__.py (100%)
 rename {src => ibat}/models/base_models/ensemble/adaboost.py (87%)
 rename {src => ibat}/models/base_models/ensemble/decision_tree.py (86%)
 rename {src => ibat}/models/base_models/ensemble/hoeffding_tree.py (95%)
 rename {src => ibat}/models/base_models/ensemble/random_forest.py (93%)
 rename {src => ibat}/models/base_models/ensemble/sgt.py (87%)
 rename {src => ibat}/models/base_models/ensemble/streaming_random_patches.py (91%)
 rename {src => ibat}/models/base_models/ensemble/xgboost.py (94%)
 rename {src => ibat}/models/base_models/ibase_model.py (100%)
 rename {src => ibat}/models/base_models/linear_model/__init__.py (100%)
 rename {src => ibat}/models/base_models/linear_model/linear_river_many.py (91%)
 rename {src => ibat}/models/base_models/linear_model/passive_aggressive.py (92%)
 rename {src => ibat}/models/base_models/linear_model/perceptron.py (85%)
 rename {src => ibat}/models/base_models/linear_model/sgd.py (91%)
 rename {src => ibat}/models/base_models/naive_bayes/__init__.py (100%)
 rename {src => ibat}/models/base_models/naive_bayes/naive_bayes.py (90%)
 rename {src => ibat}/models/base_models/naive_bayes/naive_bayes_river.py (91%)
 rename {src => ibat}/models/base_models/nn/__init__.py (100%)
 rename {src => ibat}/models/base_models/nn/convlstm.py (100%)
 rename {src => ibat}/models/base_models/nn/mlp.py (92%)
 rename {src => ibat}/models/base_models/nn/mlp_river.py (88%)
 rename {src => ibat}/models/use_cases/__init__.py (100%)
 rename {src => ibat}/models/use_cases/arrival_time/__init__.py (100%)
 rename {src => ibat}/models/use_cases/arrival_time/bus/__init__.py (100%)
 rename {src => ibat}/models/use_cases/arrival_time/bus/mme4bat.py (93%)
 rename {src => ibat}/models/use_cases/dwell_time/__init__.py (100%)
 rename {src => ibat}/models/use_cases/dwell_time/bus/__init__.py (100%)
 rename {src => ibat}/models/use_cases/dwell_time/bus/mme4bdt.py (93%)
 rename {src => ibat}/pipeline.py (99%)

diff --git a/examples/concept_drift_detector/adwin.py b/examples/concept_drift_detector/adwin.py
index b44aedb..baa74d6 100644
--- a/examples/concept_drift_detector/adwin.py
+++ b/examples/concept_drift_detector/adwin.py
@@ -1,7 +1,7 @@
 import numpy as np
 import pandas as pd
-from src.concept_drift_detector import CDD
-from src.concept_drift_detector.strategies import ADWIN
+from ibat.concept_drift_detector import CDD
+from ibat.concept_drift_detector.strategies import ADWIN
 
 
 sorted_mean_arrival_time = pd.read_csv("../../asserts/datasets/input.csv")
diff --git a/examples/concept_drift_detector/ddm.py b/examples/concept_drift_detector/ddm.py
index 163247d..63db256 100644
--- a/examples/concept_drift_detector/ddm.py
+++ b/examples/concept_drift_detector/ddm.py
@@ -1,8 +1,8 @@
 import pandas as pd
 from xgboost import XGBRegressor
 from sklearn.pipeline import Pipeline
-from src.concept_drift_detector import CDD
-from src.concept_drift_detector.strategies import DDM
+from ibat.concept_drift_detector import CDD
+from ibat.concept_drift_detector.strategies import DDM
 
 
 def split_train_test(split_date, df):
diff --git a/examples/concept_drift_detector/page_hinkley.py b/examples/concept_drift_detector/page_hinkley.py
index 0e1ef6f..27f3f9b 100644
--- a/examples/concept_drift_detector/page_hinkley.py
+++ b/examples/concept_drift_detector/page_hinkley.py
@@ -1,7 +1,7 @@
 import numpy as np
 import pandas as pd
-from src.concept_drift_detector import CDD
-from src.concept_drift_detector.strategies import PageHinkley
+from ibat.concept_drift_detector import CDD
+from ibat.concept_drift_detector.strategies import PageHinkley
 
 
 sorted_mean_arrival_time = pd.read_csv("../../asserts/datasets/input.csv")
diff --git a/examples/pipeline.py b/examples/pipeline.py
index 3fa1079..96f7648 100644
--- a/examples/pipeline.py
+++ b/examples/pipeline.py
@@ -1,8 +1,8 @@
 from datetime import datetime
 
-from src.concept_drift_detector.strategies import DDM
-from src.datasets import BUS_654_FEATURES_ENCODED_DWELL_TIMES
-from src.pipeline import run_dt_exp
+from ibat.concept_drift_detector.strategies import DDM
+from ibat.datasets import BUS_654_FEATURES_ENCODED_DWELL_TIMES
+from ibat.pipeline import run_dt_exp
 
 
 def datetime_from_string(datetime_string: str) -> datetime:
diff --git a/src/__init__.py b/ibat/__init__.py
similarity index 100%
rename from src/__init__.py
rename to ibat/__init__.py
diff --git a/src/_pipeline.py b/ibat/_pipeline.py
similarity index 99%
rename from src/_pipeline.py
rename to ibat/_pipeline.py
index 4b2a2fd..e59f712 100644
--- a/src/_pipeline.py
+++ b/ibat/_pipeline.py
@@ -13,12 +13,12 @@
     mean_absolute_percentage_error,
     root_mean_squared_error,
 )
-from src.concept_drift_detector.strategies import IStrategy
-from src.datasets import (
+from ibat.concept_drift_detector.strategies import IStrategy
+from ibat.datasets import (
     BUS_654_FEATURES_ADDED_RUNNING_TIMES,
     BUS_654_FEATURES_ENCODED_DWELL_TIMES,
 )
-from src.models.use_cases.arrival_time.bus import MME4BAT
+from ibat.models.use_cases.arrival_time.bus import MME4BAT
 
 
 def run_exp(
diff --git a/src/concept_drift_detector/__init__.py b/ibat/concept_drift_detector/__init__.py
similarity index 100%
rename from src/concept_drift_detector/__init__.py
rename to ibat/concept_drift_detector/__init__.py
diff --git a/src/concept_drift_detector/concept_drift_detector.py b/ibat/concept_drift_detector/concept_drift_detector.py
similarity index 81%
rename from src/concept_drift_detector/concept_drift_detector.py
rename to ibat/concept_drift_detector/concept_drift_detector.py
index 84893da..c062c6d 100644
--- a/src/concept_drift_detector/concept_drift_detector.py
+++ b/ibat/concept_drift_detector/concept_drift_detector.py
@@ -1,7 +1,7 @@
 from pandas import DataFrame
-from src.concept_drift_detector.strategies.istrategy import IStrategy
+from ibat.concept_drift_detector.strategies.istrategy import IStrategy
 
-# from src.models.base_models import BaseModel
+# from ibat.models.base_models import BaseModel
 
 
 class CDD:
diff --git a/src/concept_drift_detector/strategies/__init__.py b/ibat/concept_drift_detector/strategies/__init__.py
similarity index 100%
rename from src/concept_drift_detector/strategies/__init__.py
rename to ibat/concept_drift_detector/strategies/__init__.py
diff --git a/src/concept_drift_detector/strategies/adwin.py b/ibat/concept_drift_detector/strategies/adwin.py
similarity index 94%
rename from src/concept_drift_detector/strategies/adwin.py
rename to ibat/concept_drift_detector/strategies/adwin.py
index 1630c9a..68d8a9f 100644
--- a/src/concept_drift_detector/strategies/adwin.py
+++ b/ibat/concept_drift_detector/strategies/adwin.py
@@ -2,7 +2,7 @@
 
 from river.drift import ADWIN as rADWIN
 from matplotlib import gridspec, pyplot as plt
-from src.concept_drift_detector.strategies.istrategy import IStrategy
+from ibat.concept_drift_detector.strategies.istrategy import IStrategy
 
 
 class ADWIN(IStrategy):
diff --git a/src/concept_drift_detector/strategies/ddm.py b/ibat/concept_drift_detector/strategies/ddm.py
similarity index 96%
rename from src/concept_drift_detector/strategies/ddm.py
rename to ibat/concept_drift_detector/strategies/ddm.py
index c700b0f..ff2feba 100644
--- a/src/concept_drift_detector/strategies/ddm.py
+++ b/ibat/concept_drift_detector/strategies/ddm.py
@@ -4,9 +4,9 @@
 from sklearn.metrics import accuracy_score, mean_absolute_percentage_error, r2_score
 from frouros.detectors.concept_drift import DDM as fDDM, DDMConfig
 from frouros.metrics import PrequentialError
-from src.concept_drift_detector.strategies.istrategy import IStrategy
+from ibat.concept_drift_detector.strategies.istrategy import IStrategy
 
-# from src.models.base_models import BaseModel
+# from ibat.models.base_models import BaseModel
 
 
 class DDM(IStrategy):
diff --git a/src/concept_drift_detector/strategies/istrategy.py b/ibat/concept_drift_detector/strategies/istrategy.py
similarity index 85%
rename from src/concept_drift_detector/strategies/istrategy.py
rename to ibat/concept_drift_detector/strategies/istrategy.py
index 3e03b42..72c6902 100644
--- a/src/concept_drift_detector/strategies/istrategy.py
+++ b/ibat/concept_drift_detector/strategies/istrategy.py
@@ -3,7 +3,7 @@
 
 from pandas import DataFrame
 
-# from src.models.base_models.base_models import BaseModel
+# from ibat.models.base_models.base_models import BaseModel
 
 
 class IStrategy:
diff --git a/src/concept_drift_detector/strategies/page_hinkley.py b/ibat/concept_drift_detector/strategies/page_hinkley.py
similarity index 94%
rename from src/concept_drift_detector/strategies/page_hinkley.py
rename to ibat/concept_drift_detector/strategies/page_hinkley.py
index 6452435..bbb661f 100644
--- a/src/concept_drift_detector/strategies/page_hinkley.py
+++ b/ibat/concept_drift_detector/strategies/page_hinkley.py
@@ -2,7 +2,7 @@
 
 from river.drift import PageHinkley as rPageHinkley
 from matplotlib import gridspec, pyplot as plt
-from src.concept_drift_detector.strategies.istrategy import IStrategy
+from ibat.concept_drift_detector.strategies.istrategy import IStrategy
 
 
 class PageHinkley(IStrategy):
diff --git a/src/datasets/__init__.py b/ibat/datasets/__init__.py
similarity index 100%
rename from src/datasets/__init__.py
rename to ibat/datasets/__init__.py
diff --git a/src/datasets/_datasets/bus_dwell_times_654.csv b/ibat/datasets/_datasets/bus_dwell_times_654.csv
similarity index 100%
rename from src/datasets/_datasets/bus_dwell_times_654.csv
rename to ibat/datasets/_datasets/bus_dwell_times_654.csv
diff --git a/src/datasets/_datasets/bus_running_times_654.csv b/ibat/datasets/_datasets/bus_running_times_654.csv
similarity index 100%
rename from src/datasets/_datasets/bus_running_times_654.csv
rename to ibat/datasets/_datasets/bus_running_times_654.csv
diff --git a/src/datasets/_datasets/bus_running_times_feature_added_all.csv b/ibat/datasets/_datasets/bus_running_times_feature_added_all.csv
similarity index 100%
rename from src/datasets/_datasets/bus_running_times_feature_added_all.csv
rename to ibat/datasets/_datasets/bus_running_times_feature_added_all.csv
diff --git a/src/datasets/_datasets/bus_stop_times_feature_added_all.csv b/ibat/datasets/_datasets/bus_stop_times_feature_added_all.csv
similarity index 100%
rename from src/datasets/_datasets/bus_stop_times_feature_added_all.csv
rename to ibat/datasets/_datasets/bus_stop_times_feature_added_all.csv
diff --git a/src/datasets/_datasets/bus_stop_times_feature_encoded_all.csv b/ibat/datasets/_datasets/bus_stop_times_feature_encoded_all.csv
similarity index 100%
rename from src/datasets/_datasets/bus_stop_times_feature_encoded_all.csv
rename to ibat/datasets/_datasets/bus_stop_times_feature_encoded_all.csv
diff --git a/src/datasets/datasets.py b/ibat/datasets/datasets.py
similarity index 100%
rename from src/datasets/datasets.py
rename to ibat/datasets/datasets.py
diff --git a/src/log_handler.py b/ibat/log_handler.py
similarity index 100%
rename from src/log_handler.py
rename to ibat/log_handler.py
diff --git a/src/models/__init__.py b/ibat/models/__init__.py
similarity index 100%
rename from src/models/__init__.py
rename to ibat/models/__init__.py
diff --git a/src/models/base_models/__init__.py b/ibat/models/base_models/__init__.py
similarity index 100%
rename from src/models/base_models/__init__.py
rename to ibat/models/base_models/__init__.py
diff --git a/src/models/base_models/base_models.py b/ibat/models/base_models/base_models.py
similarity index 98%
rename from src/models/base_models/base_models.py
rename to ibat/models/base_models/base_models.py
index ac5bffc..bda7e48 100644
--- a/src/models/base_models/base_models.py
+++ b/ibat/models/base_models/base_models.py
@@ -5,7 +5,7 @@
 from pandas import concat, DataFrame, Series
 from xgboost import Booster, DMatrix, train
 from river.stream import iter_pandas
-from src.models.base_models.ibase_model import IBaseModel
+from ibat.models.base_models.ibase_model import IBaseModel
 
 
 class BaseModel(IBaseModel, ABC):
diff --git a/src/models/base_models/ensemble/__init__.py b/ibat/models/base_models/ensemble/__init__.py
similarity index 100%
rename from src/models/base_models/ensemble/__init__.py
rename to ibat/models/base_models/ensemble/__init__.py
diff --git a/src/models/base_models/ensemble/adaboost.py b/ibat/models/base_models/ensemble/adaboost.py
similarity index 87%
rename from src/models/base_models/ensemble/adaboost.py
rename to ibat/models/base_models/ensemble/adaboost.py
index fec6481..bed5432 100644
--- a/src/models/base_models/ensemble/adaboost.py
+++ b/ibat/models/base_models/ensemble/adaboost.py
@@ -1,6 +1,6 @@
 from river.tree import HoeffdingTreeClassifier
 from river.ensemble import AdaBoostClassifier as ExAdaBoostClassifier
-from src.models.base_models.base_models import RiverStreamBaseModel
+from ibat.models.base_models.base_models import RiverStreamBaseModel
 
 
 class AdaBoostClassifier(RiverStreamBaseModel):
diff --git a/src/models/base_models/ensemble/decision_tree.py b/ibat/models/base_models/ensemble/decision_tree.py
similarity index 86%
rename from src/models/base_models/ensemble/decision_tree.py
rename to ibat/models/base_models/ensemble/decision_tree.py
index 931b8fd..96ebe0c 100644
--- a/src/models/base_models/ensemble/decision_tree.py
+++ b/ibat/models/base_models/ensemble/decision_tree.py
@@ -1,5 +1,5 @@
 from river.tree import ExtremelyFastDecisionTreeClassifier
-from src.models.base_models.base_models import RiverStreamBaseModel
+from ibat.models.base_models.base_models import RiverStreamBaseModel
 
 
 class DecisionTreeClassifier(RiverStreamBaseModel):
diff --git a/src/models/base_models/ensemble/hoeffding_tree.py b/ibat/models/base_models/ensemble/hoeffding_tree.py
similarity index 95%
rename from src/models/base_models/ensemble/hoeffding_tree.py
rename to ibat/models/base_models/ensemble/hoeffding_tree.py
index 250378a..ca51c52 100644
--- a/src/models/base_models/ensemble/hoeffding_tree.py
+++ b/ibat/models/base_models/ensemble/hoeffding_tree.py
@@ -4,7 +4,7 @@
     HoeffdingTreeClassifier as ExHoeffdingTreeClassifier,
     HoeffdingTreeRegressor as ExHoeffdingTreeRegressor,
 )
-from src.models.base_models.base_models import RiverStreamBaseModel
+from ibat.models.base_models.base_models import RiverStreamBaseModel
 
 """
 Tree-based models are popular due to their interpretability. Hoeffding Tree uses a tree data structure to model
diff --git a/src/models/base_models/ensemble/random_forest.py b/ibat/models/base_models/ensemble/random_forest.py
similarity index 93%
rename from src/models/base_models/ensemble/random_forest.py
rename to ibat/models/base_models/ensemble/random_forest.py
index a2a6b40..c90a6bc 100644
--- a/src/models/base_models/ensemble/random_forest.py
+++ b/ibat/models/base_models/ensemble/random_forest.py
@@ -1,6 +1,6 @@
 # from river.forest import (ARFClassifier as ExARFClassifier, ARFRegressor as ExARFRegressor)
 # from river.preprocessing import StandardScaler
-# from src.models.base_models.base_models import RiverStreamBaseModel
+# from ibat.models.base_models.base_models import RiverStreamBaseModel
 #
 # """
 # The 3 most important aspects of ARF are:
diff --git a/src/models/base_models/ensemble/sgt.py b/ibat/models/base_models/ensemble/sgt.py
similarity index 87%
rename from src/models/base_models/ensemble/sgt.py
rename to ibat/models/base_models/ensemble/sgt.py
index 7c7ff2f..db7381a 100644
--- a/src/models/base_models/ensemble/sgt.py
+++ b/ibat/models/base_models/ensemble/sgt.py
@@ -1,6 +1,6 @@
 from river.tree import SGTRegressor as ExSGTRegressor
 from river.tree.splitter import DynamicQuantizer
-from src.models.base_models.base_models import RiverStreamBaseModel
+from ibat.models.base_models.base_models import RiverStreamBaseModel
 
 
 class SGTRegressor(RiverStreamBaseModel):
diff --git a/src/models/base_models/ensemble/streaming_random_patches.py b/ibat/models/base_models/ensemble/streaming_random_patches.py
similarity index 91%
rename from src/models/base_models/ensemble/streaming_random_patches.py
rename to ibat/models/base_models/ensemble/streaming_random_patches.py
index 6ae001a..b828881 100644
--- a/src/models/base_models/ensemble/streaming_random_patches.py
+++ b/ibat/models/base_models/ensemble/streaming_random_patches.py
@@ -1,6 +1,6 @@
 from river.ensemble import SRPClassifier as ExSRPClassifier
 from river.tree import HoeffdingTreeClassifier
-from src.models.base_models.base_models import RiverStreamBaseModel
+from ibat.models.base_models.base_models import RiverStreamBaseModel
 
 """
 SRP is an ensemble method that simulates bagging or random subspaces.
diff --git a/src/models/base_models/ensemble/xgboost.py b/ibat/models/base_models/ensemble/xgboost.py
similarity index 94%
rename from src/models/base_models/ensemble/xgboost.py
rename to ibat/models/base_models/ensemble/xgboost.py
index 18c923e..c41ddea 100644
--- a/src/models/base_models/ensemble/xgboost.py
+++ b/ibat/models/base_models/ensemble/xgboost.py
@@ -1,4 +1,4 @@
-from src.models.base_models.base_models import XGBoost
+from ibat.models.base_models.base_models import XGBoost
 
 
 class XGBClassifier(XGBoost):
diff --git a/src/models/base_models/ibase_model.py b/ibat/models/base_models/ibase_model.py
similarity index 100%
rename from src/models/base_models/ibase_model.py
rename to ibat/models/base_models/ibase_model.py
diff --git a/src/models/base_models/linear_model/__init__.py b/ibat/models/base_models/linear_model/__init__.py
similarity index 100%
rename from src/models/base_models/linear_model/__init__.py
rename to ibat/models/base_models/linear_model/__init__.py
diff --git a/src/models/base_models/linear_model/linear_river_many.py b/ibat/models/base_models/linear_model/linear_river_many.py
similarity index 91%
rename from src/models/base_models/linear_model/linear_river_many.py
rename to ibat/models/base_models/linear_model/linear_river_many.py
index 738aa8f..d1d7409 100644
--- a/src/models/base_models/linear_model/linear_river_many.py
+++ b/ibat/models/base_models/linear_model/linear_river_many.py
@@ -4,7 +4,7 @@
 )
 from river.optim import SGD
 from river.preprocessing import StandardScaler
-from src.models.base_models.base_models import RiverBatchBaseModel
+from ibat.models.base_models.base_models import RiverBatchBaseModel
 
 
 class LinearRegression(RiverBatchBaseModel):
diff --git a/src/models/base_models/linear_model/passive_aggressive.py b/ibat/models/base_models/linear_model/passive_aggressive.py
similarity index 92%
rename from src/models/base_models/linear_model/passive_aggressive.py
rename to ibat/models/base_models/linear_model/passive_aggressive.py
index e5af09a..2b2a28b 100644
--- a/src/models/base_models/linear_model/passive_aggressive.py
+++ b/ibat/models/base_models/linear_model/passive_aggressive.py
@@ -2,7 +2,7 @@
     PassiveAggressiveClassifier as ExPassiveAggressiveClassifier,
     PassiveAggressiveRegressor as ExPassiveAggressiveRegressor,
 )
-from src.models.base_models.base_models import SKLearnBaseModel
+from ibat.models.base_models.base_models import SKLearnBaseModel
 
 
 class PassiveAggressiveClassifier(SKLearnBaseModel):
diff --git a/src/models/base_models/linear_model/perceptron.py b/ibat/models/base_models/linear_model/perceptron.py
similarity index 85%
rename from src/models/base_models/linear_model/perceptron.py
rename to ibat/models/base_models/linear_model/perceptron.py
index d753f5a..9a73226 100644
--- a/src/models/base_models/linear_model/perceptron.py
+++ b/ibat/models/base_models/linear_model/perceptron.py
@@ -1,5 +1,5 @@
 from sklearn.linear_model import Perceptron
-from src.models.base_models.base_models import SKLearnBaseModel
+from ibat.models.base_models.base_models import SKLearnBaseModel
 
 
 class PerceptronClassifier(SKLearnBaseModel):
diff --git a/src/models/base_models/linear_model/sgd.py b/ibat/models/base_models/linear_model/sgd.py
similarity index 91%
rename from src/models/base_models/linear_model/sgd.py
rename to ibat/models/base_models/linear_model/sgd.py
index b950e5f..a5572ff 100644
--- a/src/models/base_models/linear_model/sgd.py
+++ b/ibat/models/base_models/linear_model/sgd.py
@@ -2,7 +2,7 @@
     SGDClassifier as ExSGDClassifier,
     SGDRegressor as ExSGDRegressor,
 )
-from src.models.base_models.base_models import SKLearnBaseModel
+from ibat.models.base_models.base_models import SKLearnBaseModel
 
 
 class SGDClassifier(SKLearnBaseModel):
diff --git a/src/models/base_models/naive_bayes/__init__.py b/ibat/models/base_models/naive_bayes/__init__.py
similarity index 100%
rename from src/models/base_models/naive_bayes/__init__.py
rename to ibat/models/base_models/naive_bayes/__init__.py
diff --git a/src/models/base_models/naive_bayes/naive_bayes.py b/ibat/models/base_models/naive_bayes/naive_bayes.py
similarity index 90%
rename from src/models/base_models/naive_bayes/naive_bayes.py
rename to ibat/models/base_models/naive_bayes/naive_bayes.py
index 412cd7c..6b060e2 100644
--- a/src/models/base_models/naive_bayes/naive_bayes.py
+++ b/ibat/models/base_models/naive_bayes/naive_bayes.py
@@ -2,7 +2,7 @@
     BernoulliNB as ExBernoulliNB,
     MultinomialNB as ExMultinomialNB,
 )
-from src.models.base_models.base_models import SKLearnBaseModel
+from ibat.models.base_models.base_models import SKLearnBaseModel
 
 
 class BernoulliNB(SKLearnBaseModel):
diff --git a/src/models/base_models/naive_bayes/naive_bayes_river.py b/ibat/models/base_models/naive_bayes/naive_bayes_river.py
similarity index 91%
rename from src/models/base_models/naive_bayes/naive_bayes_river.py
rename to ibat/models/base_models/naive_bayes/naive_bayes_river.py
index ecfd079..4c14a8a 100644
--- a/src/models/base_models/naive_bayes/naive_bayes_river.py
+++ b/ibat/models/base_models/naive_bayes/naive_bayes_river.py
@@ -3,7 +3,7 @@
     BernoulliNB as ExBernoulliNB,
     MultinomialNB as ExMultinomialNB,
 )
-from src.models.base_models.base_models import RiverBatchBaseModel
+from ibat.models.base_models.base_models import RiverBatchBaseModel
 
 
 class BernoulliNB(RiverBatchBaseModel):
diff --git a/src/models/base_models/nn/__init__.py b/ibat/models/base_models/nn/__init__.py
similarity index 100%
rename from src/models/base_models/nn/__init__.py
rename to ibat/models/base_models/nn/__init__.py
diff --git a/src/models/base_models/nn/convlstm.py b/ibat/models/base_models/nn/convlstm.py
similarity index 100%
rename from src/models/base_models/nn/convlstm.py
rename to ibat/models/base_models/nn/convlstm.py
diff --git a/src/models/base_models/nn/mlp.py b/ibat/models/base_models/nn/mlp.py
similarity index 92%
rename from src/models/base_models/nn/mlp.py
rename to ibat/models/base_models/nn/mlp.py
index 17b86b0..c93e464 100644
--- a/src/models/base_models/nn/mlp.py
+++ b/ibat/models/base_models/nn/mlp.py
@@ -2,7 +2,7 @@
     MLPClassifier as ExMLPClassifier,
     MLPRegressor as ExMLPRegressor,
 )
-from src.models.base_models.base_models import SKLearnBaseModel
+from ibat.models.base_models.base_models import SKLearnBaseModel
 
 
 class MLPClassifier(SKLearnBaseModel):
diff --git a/src/models/base_models/nn/mlp_river.py b/ibat/models/base_models/nn/mlp_river.py
similarity index 88%
rename from src/models/base_models/nn/mlp_river.py
rename to ibat/models/base_models/nn/mlp_river.py
index f08f7d7..935a845 100644
--- a/src/models/base_models/nn/mlp_river.py
+++ b/ibat/models/base_models/nn/mlp_river.py
@@ -2,7 +2,7 @@
 from river.neural_net.activations import ReLU
 from river.optim import SGD
 from river.preprocessing import StandardScaler
-from src.models.base_models.base_models import RiverBatchBaseModel
+from ibat.models.base_models.base_models import RiverBatchBaseModel
 
 
 class MLPRegressor(RiverBatchBaseModel):
diff --git a/src/models/use_cases/__init__.py b/ibat/models/use_cases/__init__.py
similarity index 100%
rename from src/models/use_cases/__init__.py
rename to ibat/models/use_cases/__init__.py
diff --git a/src/models/use_cases/arrival_time/__init__.py b/ibat/models/use_cases/arrival_time/__init__.py
similarity index 100%
rename from src/models/use_cases/arrival_time/__init__.py
rename to ibat/models/use_cases/arrival_time/__init__.py
diff --git a/src/models/use_cases/arrival_time/bus/__init__.py b/ibat/models/use_cases/arrival_time/bus/__init__.py
similarity index 100%
rename from src/models/use_cases/arrival_time/bus/__init__.py
rename to ibat/models/use_cases/arrival_time/bus/__init__.py
diff --git a/src/models/use_cases/arrival_time/bus/mme4bat.py b/ibat/models/use_cases/arrival_time/bus/mme4bat.py
similarity index 93%
rename from src/models/use_cases/arrival_time/bus/mme4bat.py
rename to ibat/models/use_cases/arrival_time/bus/mme4bat.py
index 44cd678..4114e43 100644
--- a/src/models/use_cases/arrival_time/bus/mme4bat.py
+++ b/ibat/models/use_cases/arrival_time/bus/mme4bat.py
@@ -1,9 +1,9 @@
 from copy import deepcopy
 from typing import Optional
 
-from src.concept_drift_detector import CDD
-from src.concept_drift_detector.strategies import IStrategy
-from src.models.base_models.ensemble.xgboost import XGBClassifier, XGBRegressor
+from ibat.concept_drift_detector import CDD
+from ibat.concept_drift_detector.strategies import IStrategy
+from ibat.models.base_models.ensemble.xgboost import XGBClassifier, XGBRegressor
 
 
 class MME4BAT:
diff --git a/src/models/use_cases/dwell_time/__init__.py b/ibat/models/use_cases/dwell_time/__init__.py
similarity index 100%
rename from src/models/use_cases/dwell_time/__init__.py
rename to ibat/models/use_cases/dwell_time/__init__.py
diff --git a/src/models/use_cases/dwell_time/bus/__init__.py b/ibat/models/use_cases/dwell_time/bus/__init__.py
similarity index 100%
rename from src/models/use_cases/dwell_time/bus/__init__.py
rename to ibat/models/use_cases/dwell_time/bus/__init__.py
diff --git a/src/models/use_cases/dwell_time/bus/mme4bdt.py b/ibat/models/use_cases/dwell_time/bus/mme4bdt.py
similarity index 93%
rename from src/models/use_cases/dwell_time/bus/mme4bdt.py
rename to ibat/models/use_cases/dwell_time/bus/mme4bdt.py
index c089636..cfe32d0 100644
--- a/src/models/use_cases/dwell_time/bus/mme4bdt.py
+++ b/ibat/models/use_cases/dwell_time/bus/mme4bdt.py
@@ -1,9 +1,9 @@
 from copy import deepcopy
 from typing import Optional
 
-from src.concept_drift_detector import CDD
-from src.concept_drift_detector.strategies import IStrategy
-from src.models.base_models.ensemble.xgboost import XGBClassifier, XGBRegressor
+from ibat.concept_drift_detector import CDD
+from ibat.concept_drift_detector.strategies import IStrategy
+from ibat.models.base_models.ensemble.xgboost import XGBClassifier, XGBRegressor
 
 
 class MME4BDT:
diff --git a/src/pipeline.py b/ibat/pipeline.py
similarity index 99%
rename from src/pipeline.py
rename to ibat/pipeline.py
index 7a1a1a0..ae1a696 100644
--- a/src/pipeline.py
+++ b/ibat/pipeline.py
@@ -11,8 +11,8 @@
     mean_absolute_error,
     root_mean_squared_error,
 )
-from src.concept_drift_detector.strategies import IStrategy
-from src.models.use_cases.dwell_time.bus import MME4BDT
+from ibat.concept_drift_detector.strategies import IStrategy
+from ibat.models.use_cases.dwell_time.bus import MME4BDT
 
 
 def run_dt_exp(
diff --git a/setup.py b/setup.py
index 6757d90..2ac554a 100644
--- a/setup.py
+++ b/setup.py
@@ -1,4 +1,4 @@
-from setuptools import setup, find_packages
+from setuptools import find_packages, setup
 from codecs import open
 from os import path
 
@@ -44,12 +44,10 @@
     license="MIT",
     python_requires=">=3.9",
     classifiers=classifiers,
-    packages=find_packages(where="src"),
-    package_dir={"": "src"},
+    packages=find_packages(exclude=["tests", "tests.*"]),
     include_package_data=True,
     install_requires=requirements,
     project_urls={
-        "Homepage": "https://github.com/aaivu/ibat",
         "Source Code": "https://github.com/aaivu/ibat",
         "Download": "https://github.com/aaivu/ibat/releases",
         "Documentation": "https://github.com/aaivu/ibat/blob/master/README.md",

From 4277ae4591d7fb0e1dc8980a98a5746f6f58fbc7 Mon Sep 17 00:00:00 2001
From: Kajanan Selvanesan <kajananselvanesan@gmail.com>
Date: Sun, 12 May 2024 16:27:44 +0530
Subject: [PATCH 2/2] refactor: Rename src to ibat

---
 Makefile | 4 ++--
 setup.py | 8 ++++----
 2 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/Makefile b/Makefile
index 6d0ef6d..c38110d 100644
--- a/Makefile
+++ b/Makefile
@@ -12,12 +12,12 @@ setup-conda-env:
 
 .PHONY: format
 format:
-	./venv/bin/black ./src
+	./venv/bin/black ./ibat
 	./venv/bin/black ./examples
 
 .PHONY: lint
 lint:
-	./venv/bin/flake8 ./src
+	./venv/bin/flake8 ./ibat
 
 .PHONY: clean
 clean:
diff --git a/setup.py b/setup.py
index 2ac554a..1a7e0c8 100644
--- a/setup.py
+++ b/setup.py
@@ -5,10 +5,10 @@
 
 HERE = path.abspath(path.dirname(__file__))
 
-with open(path.join(HERE, "README.md"), "r", encoding='utf-8') as f:
+with open(path.join(HERE, "README.md"), "r", encoding="utf-8") as f:
     long_description = f.read()
 
-with open(path.join(HERE, "requirements.txt"), "r", encoding='utf-8') as f:
+with open(path.join(HERE, "requirements.txt"), "r", encoding="utf-8") as f:
     requirements = f.read().splitlines()
 
 classifiers = [
@@ -40,7 +40,7 @@
         "Incremental learning",
     ],
     author="Aaivu",
-    author_email='helloaaivu@gmail.com',
+    author_email="helloaaivu@gmail.com",
     license="MIT",
     python_requires=">=3.9",
     classifiers=classifiers,
@@ -52,5 +52,5 @@
         "Download": "https://github.com/aaivu/ibat/releases",
         "Documentation": "https://github.com/aaivu/ibat/blob/master/README.md",
         "Bug Tracker": "https://github.com/aaivu/ibat/issues",
-    }
+    },
 )