paddle_quantum.dataset.po

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# Copyright (C) 2022, Baidu Inc
# This file is distributed under the same license as the paddle-quantum
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"Project-Id-Version: paddle-quantum \n"
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"POT-Creation-Date: 2022-05-17 11:08+0800\n"
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#: ../../source/paddle_quantum.dataset.rst:2
msgid "paddle\\_quantum.dataset"
msgstr ""

#: of paddle_quantum.dataset:1
msgid "The source file of the dataset."
msgstr ""

#: of paddle_quantum.dataset.Dataset:1
msgid "Bases: :py:class:`object`"
msgstr ""

#: of paddle_quantum.dataset.Dataset:1
msgid ""
"Basic class for all datasets, integrating multiple quantum encoding "
"methods."
msgstr ""

#: of paddle_quantum.dataset.Dataset.data2circuit:1
msgid ""
"Encode vectors, which have been already truncated or filled with zero to "
"the length ``can_describe_dimension``"
msgstr ""

#: of paddle_quantum.dataset.BreastCancer
#: paddle_quantum.dataset.Dataset.data2circuit
#: paddle_quantum.dataset.Dataset.filter_class
#: paddle_quantum.dataset.FashionMNIST paddle_quantum.dataset.Iris
#: paddle_quantum.dataset.MNIST paddle_quantum.dataset.SimpleDataset
#: paddle_quantum.dataset.SimpleDataset.encode
#: paddle_quantum.dataset.VisionDataset
#: paddle_quantum.dataset.VisionDataset.encode
msgid "Parameters"
msgstr ""

#: of paddle_quantum.dataset.Dataset.data2circuit:3
msgid ""
"vectors needed to encode，which have been already truncated or filled with"
" zero to the length ``can_describe_dimension``"
msgstr ""

#: of paddle_quantum.dataset.Dataset.data2circuit:6
#: paddle_quantum.dataset.Dataset.data2circuit:7
msgid "The encoding method."
msgstr ""

#: of paddle_quantum.dataset.Dataset.data2circuit:8
msgid "the dimension which the circuit can describe by ``encoding``."
msgstr ""

#: of paddle_quantum.dataset.Dataset.data2circuit:9
msgid "Whether to split the circuit."
msgstr ""

#: of paddle_quantum.dataset.Dataset.data2circuit:10
msgid "Whether to return quantum state."
msgstr ""

#: of paddle_quantum.dataset.Dataset.data2circuit:11
msgid ""
"Whether it is a picture, if it is a picture, the normalization method is "
"not quite the same. Defaults to ``False``."
msgstr ""

#: of paddle_quantum.dataset.Dataset.data2circuit
#: paddle_quantum.dataset.FashionMNIST paddle_quantum.dataset.MNIST
#: paddle_quantum.dataset.SimpleDataset.encode
#: paddle_quantum.dataset.VisionDataset.encode
msgid "Raises"
msgstr ""

#: of paddle_quantum.dataset.Dataset.data2circuit:13
msgid "Not support to return circuit in amplitude encoding."
msgstr ""

#: of paddle_quantum.dataset.Dataset.data2circuit
#: paddle_quantum.dataset.Dataset.filter_class
#: paddle_quantum.dataset.SimpleDataset.encode
#: paddle_quantum.dataset.VisionDataset.encode
msgid "Returns"
msgstr ""

#: of paddle_quantum.dataset.Dataset.data2circuit:15
msgid ""
"if ``return_state == True``, return encoded quantum state, otherwise "
"return encoding circuits."
msgstr ""

#: of paddle_quantum.dataset.Dataset.data2circuit
#: paddle_quantum.dataset.Dataset.filter_class
#: paddle_quantum.dataset.SimpleDataset.encode
#: paddle_quantum.dataset.VisionDataset.encode
msgid "Return type"
msgstr ""

#: of paddle_quantum.dataset.Dataset.filter_class:1
msgid ""
"Select ``data_num`` samples from ``x``, ``y``, whose label is in "
"``classes``."
msgstr ""

#: of paddle_quantum.dataset.Dataset.filter_class:3
msgid "training features."
msgstr ""

#: of paddle_quantum.dataset.Dataset.filter_class:4
msgid "training labels."
msgstr ""

#: of paddle_quantum.dataset.Dataset.filter_class:5
msgid "classes needed to select."
msgstr ""

#: of paddle_quantum.dataset.Dataset.filter_class:6
msgid "the number of data needed to select."
msgstr ""

#: of paddle_quantum.dataset.Dataset.filter_class:7
msgid ""
"whether we need to relabel the labels to 0,1,2 for binary classification."
" For example ``[1,2]`` will be relabeled to ``[0,1]``."
msgstr ""

#: of paddle_quantum.dataset.Dataset.filter_class:8
msgid "Random seed. Defaults to ``0``."
msgstr ""

#: of paddle_quantum.dataset.Dataset.filter_class:10
msgid ""
"- new_x: selected features. - new_y: selected labels corresponded to "
"``new_x``."
msgstr ""

#: of paddle_quantum.dataset.Dataset.filter_class:10
msgid "new_x: selected features."
msgstr ""

#: of paddle_quantum.dataset.Dataset.filter_class:11
msgid "new_y: selected labels corresponded to ``new_x``."
msgstr ""

#: of paddle_quantum.dataset.SimpleDataset:1
#: paddle_quantum.dataset.VisionDataset:1
msgid "Bases: :py:class:`~paddle_quantum.dataset.Dataset`"
msgstr ""

#: of paddle_quantum.dataset.VisionDataset:1
msgid ""
"``VisionDataset`` is the basic class of all image datasets. By inheriting"
" ``VisionDataset``, users can easily generate their own quantum data."
msgstr ""

#: of paddle_quantum.dataset.VisionDataset:3
msgid "the size of the figure."
msgstr ""

#: of paddle_quantum.dataset.VisionDataset.encode:1
msgid ""
"Encode ``feature`` into ``num_qubits`` qubits using ``encoding`` after "
"downscaling to ``target_dimension``. ``feature`` is one-dimension image "
"vectors."
msgstr ""

#: of paddle_quantum.dataset.VisionDataset.encode:3
msgid "One-dimension image vectors which can be list or ndarray."
msgstr ""

#: of paddle_quantum.dataset.BreastCancer:3
#: paddle_quantum.dataset.FashionMNIST:4 paddle_quantum.dataset.Iris:3
#: paddle_quantum.dataset.MNIST:4 paddle_quantum.dataset.VisionDataset.encode:4
msgid ""
"``angle_encoding`` denotes angle encoding, and one qubit encodes one "
"number with a Ry gate. ``amplitude_encoding`` denotes amplitude encoding;"
" ``pauli_rotation_encoding`` denotes using SU(3) rotation gate. "
"``linear_entanglement_encoding``, ``real_entanglement_encoding`` , "
"``complex_entanglement_encoding`` and ``IQP_encoding`` encoding methods."
msgstr ""

#: of paddle_quantum.dataset.BreastCancer:6
#: paddle_quantum.dataset.FashionMNIST:7 paddle_quantum.dataset.Iris:6
#: paddle_quantum.dataset.MNIST:7 paddle_quantum.dataset.SimpleDataset.encode:5
#: paddle_quantum.dataset.VisionDataset.encode:7
msgid "Qubit number."
msgstr ""

#: of paddle_quantum.dataset.VisionDataset.encode:8
msgid ""
"whether to split the circuits. If true, every layer of the encoding "
"circuit will be split into a list. Defaults to ``False``."
msgstr ""

#: of paddle_quantum.dataset.FashionMNIST:11 paddle_quantum.dataset.MNIST:11
#: paddle_quantum.dataset.VisionDataset.encode:9
msgid "Including ``PCA`` and ``resize``. Defaults to ``resize``."
msgstr ""

#: of paddle_quantum.dataset.VisionDataset.encode:10
msgid ""
"The dimension after downscaling. ``target_dimension`` is not allowed to "
"surpass the figure size. Defaults to ``-1``."
msgstr ""

#: of paddle_quantum.dataset.VisionDataset.encode:11
msgid ""
"Whether to return quantum states. If it is ``False``, return quantum "
"circuits. Defaults to True."
msgstr ""

#: of paddle_quantum.dataset.VisionDataset.encode:12
msgid ""
"Whether to return ``quantum_image_states``, ``quantum_image_circuits``, "
"``original_images`` and ``classical_image_vectors``. Defaults to False."
msgstr ""

#: of paddle_quantum.dataset.VisionDataset.encode:14
msgid "PCA dimension should be less than figure size"
msgstr ""

#: of paddle_quantum.dataset.VisionDataset.encode:15
msgid "Resize dimension should be a square"
msgstr ""

#: of paddle_quantum.dataset.VisionDataset.encode:16
msgid "Downscaling methods can only be resize and PCA."
msgstr ""

#: of paddle_quantum.dataset.VisionDataset.encode:17
msgid "Invalid encoding methods"
msgstr ""

#: of paddle_quantum.dataset.VisionDataset.encode:19
msgid ""
"- quantum_image_states: Quantum states, only ``full_return==True`` or "
"``return_state==True`` will return. - quantum_image_circuits: A list of "
"circuits generating quantum states, only ``full_return==True`` or "
"``return_state==True`` will return. - original_images: One-dimension "
"original vectors without any processing, only ``return_state==True`` will"
" return; - classical_image_vectors: One-dimension original vectors after "
"filling with zero, which are encoded to quantum states. only "
"``return_state==True`` will return;"
msgstr ""

#: of paddle_quantum.dataset.VisionDataset.encode:19
msgid ""
"quantum_image_states: Quantum states, only ``full_return==True`` or "
"``return_state==True`` will return."
msgstr ""

#: of paddle_quantum.dataset.VisionDataset.encode:20
msgid ""
"quantum_image_circuits: A list of circuits generating quantum states, "
"only ``full_return==True`` or ``return_state==True`` will return."
msgstr ""

#: of paddle_quantum.dataset.VisionDataset.encode:21
msgid ""
"original_images: One-dimension original vectors without any processing, "
"only ``return_state==True`` will return;"
msgstr ""

#: of paddle_quantum.dataset.VisionDataset.encode:22
msgid ""
"classical_image_vectors: One-dimension original vectors after filling "
"with zero, which are encoded to quantum states. only "
"``return_state==True`` will return;"
msgstr ""

#: of paddle_quantum.dataset.SimpleDataset:1
msgid ""
"SimpleDataset is used for simple dataset and can't downscale the data. "
"You can inherit ``SimpleDataset`` to generate quantum states from your "
"classical datasets."
msgstr ""

#: of paddle_quantum.dataset.SimpleDataset:3
msgid "Dimension of encoding data"
msgstr ""

#: of paddle_quantum.dataset.SimpleDataset.encode:1
msgid "Encode ``feature`` with ``num_qubits`` qubits by ``encoding``."
msgstr ""

#: of paddle_quantum.dataset.SimpleDataset.encode:3
msgid "Features needed to encode."
msgstr ""

#: of paddle_quantum.dataset.SimpleDataset.encode:4
msgid "Encoding methods."
msgstr ""

#: of paddle_quantum.dataset.BreastCancer:8
#: paddle_quantum.dataset.FashionMNIST:15 paddle_quantum.dataset.Iris:10
#: paddle_quantum.dataset.MNIST:15
#: paddle_quantum.dataset.SimpleDataset.encode:6
msgid "Whether to return quantum states. Defaults to ``True``."
msgstr ""

#: of paddle_quantum.dataset.SimpleDataset.encode:7
msgid ""
"Whether to return quantum_states, quantum_circuits, origin_feature and "
"feature. Defaults to ``False``."
msgstr ""

#: of paddle_quantum.dataset.SimpleDataset.encode:9
msgid "Invalid type of feature."
msgstr ""

#: of paddle_quantum.dataset.SimpleDataset.encode:10
msgid "Invalid encoding methods."
msgstr ""

#: of paddle_quantum.dataset.SimpleDataset.encode:11
msgid "The qubit number is not enough to encode the features."
msgstr ""

#: of paddle_quantum.dataset.SimpleDataset.encode:13
msgid ""
"TODO: not show up in docs - quantum_states: Quantum states, only "
"``full_return==True`` or ``return_state==True`` will return; - "
"quantum_circuits: A list of circuits generating quantum states, only "
"``full_return==True`` or ``return_state==True`` will return; - "
"origin_feature: One-dimension original vectors without any processing, "
"only ``return_state==True`` will return - feature: One-dimension original"
" vectors after filling with zero, which are encoded to quantum states. "
"only ``return_state==True`` will return."
msgstr ""

#: of paddle_quantum.dataset.FashionMNIST:1 paddle_quantum.dataset.MNIST:1
msgid "Bases: :py:class:`~paddle_quantum.dataset.VisionDataset`"
msgstr ""

#: of paddle_quantum.dataset.MNIST:1
msgid "MNIST quantum dataset. It inherits ``VisionDataset``."
msgstr ""

#: of paddle_quantum.dataset.FashionMNIST:3 paddle_quantum.dataset.MNIST:3
msgid "Data mode including ``train`` and ``test``."
msgstr ""

#: of paddle_quantum.dataset.FashionMNIST:8 paddle_quantum.dataset.MNIST:8
msgid "Classes needed to classify."
msgstr ""

#: of paddle_quantum.dataset.FashionMNIST:9 paddle_quantum.dataset.MNIST:9
msgid "Data number returned. Defaults to ``-1``."
msgstr ""

#: of paddle_quantum.dataset.FashionMNIST:10 paddle_quantum.dataset.MNIST:10
msgid ""
"Whether to split the circuits. If True, every layer of the encoding "
"circuit will be split into a list. Defaults to ``False``."
msgstr ""

#: of paddle_quantum.dataset.FashionMNIST:12 paddle_quantum.dataset.MNIST:12
msgid ""
"The dimension after downscaling, which is not allowed to surpass the "
"figure size. Defaults to ``-1``."
msgstr ""

#: of paddle_quantum.dataset.FashionMNIST:13 paddle_quantum.dataset.MNIST:13
msgid ""
"Whether needed to crop, If ``True``, ``image[0:27][0:27]`` will be "
"cropped to ``image[4:24][4:24]``. Defaults to ``True``."
msgstr ""

#: of paddle_quantum.dataset.FashionMNIST:14 paddle_quantum.dataset.MNIST:14
msgid ""
"Whether we need to relabel the labels to 0,1,2… for binary "
"classification.For example [1,2] will be relabeled to [0,1] Defaults to "
"``True``."
msgstr ""

#: of paddle_quantum.dataset.BreastCancer:9
#: paddle_quantum.dataset.FashionMNIST:16 paddle_quantum.dataset.Iris:11
#: paddle_quantum.dataset.MNIST:16
msgid "Select random seed. Defaults to ``0``."
msgstr ""

#: of paddle_quantum.dataset.FashionMNIST:18 paddle_quantum.dataset.MNIST:18
msgid "Data mode can only be train and test."
msgstr ""

#: of paddle_quantum.dataset.FashionMNIST:1
msgid "FashionMNIST quantum dataset. It inherits ``VisionDataset``."
msgstr ""

#: of paddle_quantum.dataset.BreastCancer:1 paddle_quantum.dataset.Iris:1
msgid "Bases: :py:class:`~paddle_quantum.dataset.SimpleDataset`"
msgstr ""

#: of paddle_quantum.dataset.Iris:1
msgid "Iris dataset"
msgstr ""

#: of paddle_quantum.dataset.Iris:7
msgid "Classes needed to classify"
msgstr ""

#: of paddle_quantum.dataset.BreastCancer:7 paddle_quantum.dataset.Iris:8
msgid "The proportion of the testing dataset. Defaults to ``0.2``."
msgstr ""

#: of paddle_quantum.dataset.Iris:9
msgid ""
"Whether we need to relabel the labels to 0,1,2… for binary "
"classification.For example [1,2] will be relabeled to [0,1]. Defaults to "
"``True``."
msgstr ""

#: of paddle_quantum.dataset.BreastCancer:1
msgid "BreastCancer quantum dataset."
msgstr ""