Use conda environment yaml's for training-tuning-scripts (#1256)

- Replace `requirements.txt`files (pip) with `requirements.yml` (conda environment).
- Update dependency versions.

Closes #1226
Closes #1227

## By Submitting this PR I confirm:
- I am familiar with the [Contributing Guidelines](https://github.com/nv-morpheus/Morpheus/blob/main/docs/source/developer_guide/contributing.md).
- When the PR is ready for review, new or existing tests cover these changes.
- When the PR is ready for review, the documentation is up to date with these changes.

Authors:
  - Eli Fajardo (https://github.com/efajardo-nv)

Approvers:
  - Michael Demoret (https://github.com/mdemoret-nv)

URL: #1256

models/training-tuning-scripts/abp-models/requirements.yml

@@ -0,0 +1,25 @@
+# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed 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.
+
+channels:
+  - rapidsai
+  - nvidia
+  - conda-forge
+dependencies:
+  - cuml=23.06
+  - jupyterlab
+  - python=3.10
+  - scikit-learn=1.2.2
+  - xgboost

models/training-tuning-scripts/dfp-models/hammah-20211017-script.py

@@ -102,7 +102,7 @@ def main():
         min_cats=1  # cut off for minority categories
     )
 
-    model.fit(x_train, epochs=25, validation_data=x_val)
+    model.fit(x_train, epochs=25, validation_data=x_val, run_validation=True)
 
     torch.save(model.state_dict(), args.trainingdata[:-4] + ".pkl")
     with open(args.trainingdata[:-4] + 'dill' + '.pkl', 'wb') as f:

models/training-tuning-scripts/dfp-models/requirements.yml

@@ -0,0 +1,29 @@
+# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed 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.
+
+channels:
+  - nvidia
+  - pytorch
+  - conda-forge
+dependencies:
+  - dill
+  - jupyterlab
+  - matplotlib
+  - pandas=1.3
+  - python=3.10
+  - pytorch-cuda=11.8
+  - pytorch=2.0.1
+  - scikit-learn=1.2.2
+  - seaborn

models/training-tuning-scripts/fraud-detection-models/requirements.yml

@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -14,17 +14,20 @@
 # limitations under the License.
 
 channels:
-    - rapidsai
-    - nvidia
-    - conda-forge
+  - rapidsai
+  - nvidia
+  - dglteam/label/cu118
+  - pytorch
+  - conda-forge
 dependencies:
-    - click==8.1.3
-    - cuml=23.06
-    - dgl==1.0.2+cu118
-    - numpy==1.23.5
-    - pandas==1.5.3
-    - scikit_learn==1.2.2
-    - torch==2.0.0+cu118
-    - torchmetrics==0.11.4
-    - tqdm==4.65.0
-    - xgboost==1.7.1
+  - click>=8
+  - cuml=23.06
+  - dgl
+  - jupyterlab
+  - matplotlib
+  - pytorch-cuda=11.8
+  - pytorch=2.0.1
+  - scikit-learn=1.2.2
+  - tqdm=4
+  - torchmetrics
+  - xgboost

models/training-tuning-scripts/log-parsing-models/requirements.yml

@@ -0,0 +1,30 @@
+# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed 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.
+
+channels:
+  - rapidsai
+  - nvidia
+  - pytorch
+  - conda-forge
+dependencies:
+  - cudf=23.06
+  - jupyterlab
+  - onnx
+  - python=3.10
+  - pytorch-cuda=11.8
+  - pytorch=2.0.1
+  - seqeval=1.2.2
+  - tqdm=4
+  - transformers

models/training-tuning-scripts/phishing-models/requirements.yml

@@ -0,0 +1,30 @@
+# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed 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.
+
+channels:
+  - rapidsai
+  - nvidia
+  - pytorch
+  - conda-forge
+dependencies:
+  - cudf=23.06
+  - jupyterlab
+  - onnx
+  - python=3.10
+  - pytorch-cuda=11.8
+  - pytorch=2.0.1
+  - scikit-learn=1.2.2
+  - tqdm=4
+  - transformers

models/training-tuning-scripts/ransomware-models/requirements.yml

@@ -0,0 +1,24 @@
+# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed 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.
+
+channels:
+  - conda-forge
+dependencies:
+  - jupyterlab
+  - matplotlib
+  - pandas=1.3
+  - python=3.10
+  - scikit-learn=1.2.2
+  - seaborn

models/training-tuning-scripts/root-cause-models/requirements.yml

@@ -0,0 +1,30 @@
+# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed 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.
+
+channels:
+  - rapidsai
+  - nvidia
+  - pytorch
+  - conda-forge
+dependencies:
+  - cudf=23.06
+  - jupyterlab
+  - onnx
+  - python=3.10
+  - pytorch-cuda=11.8
+  - pytorch=2.0.1
+  - scikit-learn=1.2.2
+  - tqdm=4
+  - transformers

models/training-tuning-scripts/sid-models/requirements.yml

@@ -0,0 +1,30 @@
+# SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed 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.
+
+channels:
+  - rapidsai
+  - nvidia
+  - pytorch
+  - conda-forge
+dependencies:
+  - cudf=23.06
+  - jupyterlab
+  - onnx
+  - python=3.10
+  - pytorch-cuda=11.8
+  - pytorch=2.0.1
+  - scikit-learn=1.2.2
+  - tqdm=4
+  - transformers

models/training-tuning-scripts/sid-models/sid-minibert-20230424.ipynb

@@ -31,7 +31,6 @@
    "outputs": [],
    "source": [
     "from os import path\n",
-    "import s3fs\n",
     "import torch\n",
     "from torch.nn import BCEWithLogitsLoss\n",
     "from transformers import AutoModelForSequenceClassification, AdamW\n",