| # | |
| # Licensed to the Apache Software Foundation (ASF) under one or more | |
| # contributor license agreements. See the NOTICE file distributed with | |
| # this work for additional information regarding copyright ownership. | |
| # The ASF licenses this file to You under the Apache License, Version 2.0 | |
| # (the "License"); you may not use this file except in compliance with | |
| # the License. You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| # | |
| from pywy.basic.model.ops import Op | |
| class Model: | |
| pass | |
| class DLModel(Model): | |
| def __init__(self, out: Op): | |
| self.out = out | |
| def get_out(self): | |
| return self.out | |
| class LogisticRegression(Op): | |
| def __init__(self, name=None): | |
| super().__init__(Op.DType.FLOAT32, name) | |
| class DecisionTreeRegression(Op): | |
| def __init__(self, max_depth: int = 5, min_instances: int = 2, name=None): | |
| super().__init__(Op.DType.FLOAT32, name) | |
| self.max_depth = max_depth | |
| self.min_instances = min_instances | |
| class LinearSVC(Op): | |
| def __init__(self, max_iter: int = 10, reg_param: float = 0.1, name=None): | |
| super().__init__(Op.DType.FLOAT32, name) | |
| self.max_iter = max_iter | |
| self.reg_param = reg_param | |