Use the Katacoda hands on learning to review the directory structure and config examples https://academy.lucidworks.com/fusion-architecture/526426
customize_fusion_values.sh script uses the helm chart, cloud provider and config yaml file (see customize_fusion_values.yaml.example) to spin up the cluster.
By default, --num-solr instances and ZK_REPLICAS are set to 3
This is the file being run that controls the components
Environment CUDA version: 10.2 Tensorflow: 2.2.0
$ nvidia-smi
Mon Nov 16 11:59:35 2020
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.95.01 Driver Version: 440.95.01 CUDA Version: 10.2 |
|-------------------------------+----------------------+----------------------+
| Topics | Curated/Authored By | Link |
|---|---|---|
| Intro | elipapa | https://gist.github.com/elipapa/147ffde1694626d63976480ef95001f7 |
| Baseline Recommender System in PyTorch | Eugene Yan | https://eugeneyan.com/writing/recommender-systems-baseline-pytorch/ |
| Basics, Alternating Least Square(ALS), Collaborative Filtering, Youtube engine, Movie Recommendations, Companies, Recsys, Bandits, Frameworks, Evaluation | Pratik Bhavsar | https://www.notion.so/Recommendation-a97d984c25e148c6a83001f0116316e4 |
| RecSys | Eugene Yan | https://eugeneyan.com/writing/recsys2020/ |
| Overview | tranctan | https://gist.github.com/tranctan/6706e21ea0efacdb07247fa09a5282a4 |
| MultiModal | Ted Dunning | https://www.slideshare.net/tdunning/building-multimodal-recommendation-engines-using-search-engines |
| --------------------------------------------------------------------------- | |
| ModuleNotFoundError Traceback (most recent call last) | |
| <ipython-input-4-313c6378870c> in <module> | |
| ----> 1 from fastai.basics.all import * | |
| ~/SageMaker/.env/fastai/lib/python3.6/site-packages/fastai/basics.py in <module> | |
| ----> 1 from .data.all import * | |
| 2 from .optimizer import * | |
| 3 from .callback.core import * | |
| 4 from .learner import * |
| 2020-09-08T08:57:09,716 - ERROR [coreLoadExecutor-8-thread-3-processing-n:192.168.0.13:8983_solr:CoreContainer@902] - {collection=c:access, core=x:access_shard1_replica1, node_name=n:192.168.0.13:8983_solr, replica=r:core_node1, shard=s:shard1} - Error creating core [access_shard1_replica1]: Could not load conf for core access_shard1_replica1: Can't load schema schema.xml: Plugin init failure for [schema.xml] fieldType "text_transitionTags": Plugin init failure for [schema.xml] analyzer/filter: Error loading class 'solr.WordDelimiterGraphFilterFactory' | |
| org.apache.solr.common.SolrException: Could not load conf for core access_shard1_replica1: Can't load schema schema.xml: Plugin init failure for [schema.xml] fieldType "text_transitionTags": Plugin init failure for [schema.xml] analyzer/filter: Error loading class 'solr.WordDelimiterGraphFilterFactory' | |
| at org.apache.solr.core.ConfigSetService.getConfig(ConfigSetService.java:84) ~[solr-core-6.4.2.jar:6.4.2 34a975ca3d4bd7fa121340e5bcbf165929e0542f - ishan - 2017 |
| #!/usr/bin/env bash | |
| set -e | |
| cd | |
| case "$OSTYPE" in | |
| darwin*) DOWNLOAD=https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh ;; | |
| linux*) DOWNLOAD=https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh ;; | |
| *) echo "unknown: $OSTYPE" ;; | |
| esac |
To remove a submodule you need to:
| name: sbr | |
| channels: | |
| - conda-forge | |
| - defaults | |
| dependencies: | |
| - _libgcc_mutex=0.1=main | |
| - _tflow_select=2.3.0=mkl | |
| - absl-py=0.9.0=py37_0 | |
| - astunparse=1.6.3=py_0 | |
| - backcall=0.2.0=pyh9f0ad1d_0 |
| --------------------------------------------------------------------------- | |
| OSError Traceback (most recent call last) | |
| <ipython-input-104-696308cd97b4> in <module> | |
| ----> 1 dblk_lm.summary(cases_mini[:100]) | |
| ~/miniconda3/envs/fastai2/lib/python3.7/site-packages/fastai2/data/block.py in summary(self, source, bs, show_batch, **kwargs) | |
| 152 print(f"Setting-up type transforms pipelines") | |
| 153 dsets = self.datasets(source, verbose=True) | |
| --> 154 print("\nBuilding one sample") | |
| 155 for tl in dsets.train.tls: |