Add Inceptiontime (PaddlePaddle#337)

* Add InceptionTime

* add test

* Update test_classify_base.py

docs/locale/zh_CN/LC_MESSAGES/source/api/paddlets.models.classify.dl.inception_time.po

@@ -0,0 +1,131 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2022, PaddlePaddle
+# This file is distributed under the same license as the   package.
+# FIRST AUTHOR <EMAIL@ADDRESS>, 2022.
+#
+#, fuzzy
+msgid ""
+msgstr ""
+"Project-Id-Version:  \n"
+"Report-Msgid-Bugs-To: \n"
+"POT-Creation-Date: 2022-12-28 17:35+0800\n"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
+"Language-Team: LANGUAGE <[email protected]>\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=utf-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Generated-By: Babel 2.10.3\n"
+
+#: ../../source/api/paddlets.models.classify.dl.inception_time.rst:2
+#: 2161c032fa75486cbc382fc587e12ba9
+msgid "paddlets.models.classify.dl.inception_time"
+msgstr ""
+
+#: 89535ac1247d4c5db2c2d601520fc01c of
+#: paddlets.models.classify.dl.inception_time.InceptionTimeClassifier:1
+msgid ""
+"Bases: "
+":py:class:`~paddlets.models.classify.dl.paddle_base.PaddleBaseClassifier`"
+msgstr ""
+
+#: d838ba33584f459791c55ef4412d2daf of
+#: paddlets.models.classify.dl.inception_time.InceptionTimeClassifier:1
+msgid ""
+"InceptionTime\\[1\\] is a time series Classification model introduced in "
+"2019. InceptionTime an ensemble of deep Convolutional Neural Network "
+"(CNN) models, inspired by the Inception-v4 architecture."
+msgstr "InceptionTime是在2019年提出的基于CNN网络的时序分类模型，它的灵感来自于Inception-v4架构"
+
+#: e73a3c3bfed84e61ab8e0df966fb3e25 of
+#: paddlets.models.classify.dl.inception_time.InceptionTimeClassifier:4
+msgid ""
+"\\[1\\] Hassan I.F, et al. \"InceptionTime: Finding AlexNet for Time "
+"Series Classification\", `<https://arxiv.org/pdf/1909.04939v3.pdf>`_"
+msgstr ""
+
+#: 7abc6c55bfdb4e988c522059fca52e38 of
+#: paddlets.models.classify.dl.inception_time.InceptionTimeClassifier
+msgid "Parameters"
+msgstr "参数"
+
+#: 5cf0751c61964ffe90abf33aac7a135c of
+#: paddlets.models.classify.dl.inception_time.InceptionTimeClassifier:7
+msgid "Optimizer algorithm."
+msgstr "优化算法"
+
+#: 2de288d548fc4f11bdfa14da4e3d1258 of
+#: paddlets.models.classify.dl.inception_time.InceptionTimeClassifier:9
+msgid "Optimizer parameters."
+msgstr "优化算法参数"
+
+#: a132ec41593d4d5b9fedcb178e4aa43e of
+#: paddlets.models.classify.dl.inception_time.InceptionTimeClassifier:11
+msgid "Evaluation metrics of model."
+msgstr "评估指标"
+
+#: 271e2a75bc9c4d2ea0dd2b1ff3b54b44 of
+#: paddlets.models.classify.dl.inception_time.InceptionTimeClassifier:13
+msgid "Customized callback functions."
+msgstr "callback方程"
+
+#: 40c9930933c141dfb286c364e02cdf20 of
+#: paddlets.models.classify.dl.inception_time.InceptionTimeClassifier:15
+msgid "Number of samples per batch."
+msgstr "每个batch的样本量"
+
+#: 6fa2ff41d8a54ec9992221ac9fd22a8a of
+#: paddlets.models.classify.dl.inception_time.InceptionTimeClassifier:17
+msgid "Max epochs during training."
+msgstr "最大训练轮次"
+
+#: e8300a8617b442e994706ad0e2c3a8f4 of
+#: paddlets.models.classify.dl.inception_time.InceptionTimeClassifier:19
+msgid "Verbosity mode."
+msgstr "是否开启日志"
+
+#: 84697c25ec1748c68fdede36495b9da5 of
+#: paddlets.models.classify.dl.inception_time.InceptionTimeClassifier:21
+msgid "Number of epochs to wait for improvement before terminating."
+msgstr "训练结束之前等待提升的轮次"
+
+#: 2fe432990f624f71b944ec2c8cdba30b of
+#: paddlets.models.classify.dl.inception_time.InceptionTimeClassifier:23
+msgid "Global random seed."
+msgstr "随机种子"
+
+#: 5b5c5fb5ebe8425a9a930ff06ff6dc66 of
+#: paddlets.models.classify.dl.inception_time.InceptionTimeClassifier:25
+msgid "Activation function,set to \"ReLU\" by defalut."
+msgstr "激活方程，默认使用ReLU"
+
+#: 10e2c52bb3114353bb0d5ed1c1e6a674 of
+#: paddlets.models.classify.dl.inception_time.InceptionTimeClassifier:27
+msgid "Kernel size for inception module, set to 40 by default."
+msgstr "卷积核大小，默认为40"
+
+#: ef7100be78a944ccac2adf3ea6d79b01 of
+#: paddlets.models.classify.dl.inception_time.InceptionTimeClassifier:29
+msgid "Output size for inception block, set to 128 by default."
+msgstr "inception block的输出维度"
+
+#: 4927a33163d4458283d852611150fbdd of
+#: paddlets.models.classify.dl.inception_time.InceptionTimeClassifier:31
+msgid "Depth for inception block, set to 6 by default."
+msgstr "inception block的深度，默认设置为6"
+
+#: 93b9591a884244a299ba1267555687c6 of
+#: paddlets.models.classify.dl.inception_time.InceptionTimeClassifier:33
+msgid "If add residuals between Inception modules."
+msgstr "是否增加残差"
+
+#: 68556e4bfb484a08a42a936a67c65f35 of
+#: paddlets.models.classify.dl.inception_time.InceptionTimeClassifier:35
+msgid "If use bottleneck layer or not, Set to True by default."
+msgstr "是否启用瓶颈层"
+
+#: 33497b4f752240828a6bc5b54ce02e7a of
+#: paddlets.models.classify.dl.inception_time.InceptionTimeClassifier:38
+msgid "Attributes:"
+msgstr ""
+

docs/source/api/paddlets.models.classify.dl.inception_time.rst

@@ -0,0 +1,6 @@
+paddlets.models.classify.dl.inception_time
+======================================
+.. automodule:: paddlets.models.classify.dl.inception_time
+    :members:
+    :no-undoc-members:
+    :show-inheritance:

docs/source/api/paddlets.models.classify.dl.rst

@@ -10,4 +10,5 @@ paddlets.models.classify.dl
 
     paddlets.models.classify.dl.cnn.rst
     paddlets.models.classify.dl.paddle_base.rst
-    paddlets.models.classify.dl.adapter.rst
+    paddlets.models.classify.dl.adapter.rst
+    paddlets.models.classify.dl.inception_time.rst

paddlets/metrics/metrics.py

@@ -266,7 +266,8 @@ def __init__(
     def metric_fn(
         self, 
         y_true: np.ndarray, 
-        y_score: np.ndarray
+        y_score: np.ndarray,
+        **kwargs
     ) -> float:
         """Precision_score.
 
@@ -277,7 +278,7 @@ def metric_fn(
         Returns:
             float: precision_score. A non-negative floating point value (the best value is 1.0).
         """
-        return metrics.precision_score(y_true, y_score)
+        return metrics.precision_score(y_true, y_score, **kwargs)
 
 
 class Recall(Metric):
@@ -301,7 +302,8 @@ def __init__(
     def metric_fn(
         self, 
         y_true: np.ndarray, 
-        y_score: np.ndarray
+        y_score: np.ndarray,
+        **kwargs
     ) -> float:
         """Recall_score.
 
@@ -312,7 +314,7 @@ def metric_fn(
         Returns:
             float: recall_score. A non-negative floating point value (the best value is 1.0).
         """
-        return metrics.recall_score(y_true, y_score)
+        return metrics.recall_score(y_true, y_score, **kwargs)
 
 
 class F1(Metric):
@@ -336,7 +338,8 @@ def __init__(
     def metric_fn(
         self, 
         y_true: np.ndarray, 
-        y_score: np.ndarray
+        y_score: np.ndarray,
+        **kwargs
     ) -> float:
         """F1_score.
 
@@ -347,7 +350,7 @@ def metric_fn(
         Returns:
             float: f1_score. A non-negative floating point value (the best value is 1.0).
         """
-        return metrics.f1_score(y_true, y_score)
+        return metrics.f1_score(y_true, y_score, **kwargs)
 
 
 class MetricContainer(object):

paddlets/metrics/utils.py

@@ -23,7 +23,8 @@ def ensure_2d(func) -> Callable[..., float]:
     def wrapper(
         obj: Metric,
         y_true: np.ndarray, 
-        y_score: np.ndarray
+        y_score: np.ndarray,
+        **kwargs
     ) -> float:
         """Core processing logic.
 
@@ -38,6 +39,6 @@ def wrapper(
         batch_nd_true, batch_nd_score = y_true.shape[0], y_score.shape[0]
         y_true = np.reshape(y_true, (batch_nd_true, -1))
         y_score = np.reshape(y_score, (batch_nd_score, -1))
-        return func(obj, y_true, y_score)
+        return func(obj, y_true, y_score, **kwargs)
     return wrapper
 

paddlets/models/classify/__init__.py

@@ -6,3 +6,4 @@
 """
 
 from paddlets.models.classify.dl.cnn import CNNClassifier
+from paddlets.models.classify.dl.inception_time import InceptionTimeClassifier