diff --git a/review/pr-755/.doctrees/api/merlin_standard_lib.proto.doctree b/review/pr-755/.doctrees/api/merlin_standard_lib.proto.doctree index 6bffbe57d..6d00cd693 100644 Binary files a/review/pr-755/.doctrees/api/merlin_standard_lib.proto.doctree and b/review/pr-755/.doctrees/api/merlin_standard_lib.proto.doctree differ diff --git a/review/pr-755/.doctrees/environment.pickle b/review/pr-755/.doctrees/environment.pickle index d963bbb34..9d3905c9b 100644 Binary files a/review/pr-755/.doctrees/environment.pickle and b/review/pr-755/.doctrees/environment.pickle differ diff --git a/review/pr-755/api/merlin_standard_lib.proto.html b/review/pr-755/api/merlin_standard_lib.proto.html index 4c68d6467..f2dd200a3 100644 --- a/review/pr-755/api/merlin_standard_lib.proto.html +++ b/review/pr-755/api/merlin_standard_lib.proto.html @@ -288,7 +288,7 @@
merlin_standard_lib.proto.schema_bp.
ValueCountList
(value_count: List[ForwardRef('ValueCount')] = <betterproto._PLACEHOLDER object at 0x7fce8ca9c3a0>)[source]merlin_standard_lib.proto.schema_bp.
ValueCountList
(value_count: List[ForwardRef('ValueCount')] = <betterproto._PLACEHOLDER object at 0x7fd5fb7b0ca0>)[source]
Bases: betterproto.Message
merlin_standard_lib.proto.schema_bp.
SparseFeatureIndexFeature
(name: str = <betterproto._PLACEHOLDER object at 0x7fce8ca9c3a0>)[source]merlin_standard_lib.proto.schema_bp.
SparseFeatureIndexFeature
(name: str = <betterproto._PLACEHOLDER object at 0x7fd5fb7b0ca0>)[source]Bases: betterproto.Message
merlin_standard_lib.proto.schema_bp.
SparseFeatureValueFeature
(name: str = <betterproto._PLACEHOLDER object at 0x7fce8ca9c3a0>)[source]merlin_standard_lib.proto.schema_bp.
SparseFeatureValueFeature
(name: str = <betterproto._PLACEHOLDER object at 0x7fd5fb7b0ca0>)[source]Bases: betterproto.Message
merlin_standard_lib.proto.schema_bp.
FeatureComparator
(infinity_norm: 'InfinityNorm' = <betterproto._PLACEHOLDER object at 0x7fce8ca9c3a0>, jensen_shannon_divergence: 'JensenShannonDivergence' = <betterproto._PLACEHOLDER object at 0x7fce8ca9c3a0>)[source]merlin_standard_lib.proto.schema_bp.
FeatureComparator
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merlin_standard_lib.proto.schema_bp.
TensorRepresentationDefaultValue
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TensorRepresentationDefaultValue
(float_value: float = <betterproto._PLACEHOLDER object at 0x7fd5fb7b0ca0>, int_value: int = <betterproto._PLACEHOLDER object at 0x7fd5fb7b0ca0>, bytes_value: bytes = <betterproto._PLACEHOLDER object at 0x7fd5fb7b0ca0>, uint_value: int = <betterproto._PLACEHOLDER object at 0x7fd5fb7b0ca0>)[source]Bases: betterproto.Message
Trainer
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to Transformers4Rec","Transformers4Rec","merlin_standard_lib package","merlin_standard_lib.proto package","merlin_standard_lib.schema package","merlin_standard_lib.utils package","API Documentation","transformers4rec package","transformers4rec.config package","transformers4rec.torch package","transformers4rec.torch.block package","transformers4rec.torch.features package","transformers4rec.torch.model package","transformers4rec.torch.tabular package","transformers4rec.torch.utils package","transformers4rec.utils package","ETL with NVTabular","End-to-end session-based recommendations with PyTorch","Multi-GPU training for session-based recommendations with PyTorch","End-to-end session-based recommendation","ETL with NVTabular","Session-based Recommendation with XLNET","Serving a Session-based Recommendation model with Torch Backend","Getting Started: Session-based Recommendation with Synthetic Data","Transformers4Rec Example Notebooks","Transformers4Rec paper - Experiments reproducibility","Preliminary Preprocessing","ETL with NVTabular","Session-based recommendation with Transformers4Rec","Tutorial: End-to-end Session-based Recommendation","Merlin Transformers4Rec","Model Architectures","Multi-GPU data-parallel training using the Trainer
class","End-to-End Pipeline with Hugging Face Transformers and NVIDIA Merlin","Additional Resources","Training and Evaluation","Why Transformers4Rec?"],titleterms:{"class":32,"export":[16,20,27],"function":28,"import":[20,21,22,26,27,28],"new":16,PRs:0,The:36,Tying:31,Using:1,achiev:1,add:27,addit:34,aggreg:[13,27,31],aliv:17,api:[6,25],approach:34,architectur:[31,34],argument:[17,21,28],attribut:0,averag:17,backend:22,base:[10,11,17,18,19,21,22,23,24,28,29,34],benefit:1,between:36,bias:25,block:[10,21,28,31],build:[21,31],calcul:26,categor:27,categorifi:26,check:[17,20],clean:16,code:[0,1,25],column:26,command:25,comparison:32,competit:34,comput:21,conda:1,config:8,connect:[17,28],consecut:26,content:[2,3,4,5,7,8,9,10,11,12,13,14,15],context:25,continu:[11,27],contribut:0,convert:26,creat:[16,18,20,27],csv:26,cudf:26,dai:[16,20],daili:[17,21,28],data:[16,17,20,21,23,24,26,27,32,35],data_util:14,dataload:28,dataparallel:32,dataset:[25,27],datetim:26,defin:[1,16,17,20,21,28],definit:17,depend:15,design:31,develop:0,distributeddataparallel:32,doc_util:5,docker:1,document:6,embed:[11,28,31],embedding_util:5,encod:27,end:[17,19,24,29,33],engin:[16,20],ensembl:17,etl:[16,20,27],evalu:[17,21,25,28,35],exampl:[1,24],examples_util:14,execut:[16,18],experi:[24,25],extract:27,face:[33,34],featur:[11,16,20,26,27,31],feedback:1,file:[27,28],fine:[17,21,28],finetun:28,first:[0,16,26],free:28,from:[26,28],get:[17,22,23,24,29],gpu:[18,24,28,32],group:27,head:[12,28,31],hug:[33,34],huggingfac:36,includ:26,increment:28,indic:30,infer:[17,33],inform:28,initi:27,input:[16,20,21,27,28,31],instal:1,instanti:[17,28],integr:[33,36],interact:[16,26,27],introduct:[27,28],inventori:24,issu:0,item:[16,26,28],kernel:28,label:0,launch:17,learn:29,librari:[20,21,22,26,27,28],load:[16,17,35],log:25,mask:[9,31],memori:28,merlin:[30,33,34],merlin_standard_lib:[2,3,4,5],metric:[17,21,28],misc_util:5,mlp:10,model:[1,12,17,21,22,28,31],modul:[2,3,4,5,7,8,9,10,11,12,13,14,15,21,28],modular:31,multi:[18,32],next:28,nlp:36,normal:27,notebook:[1,24],nvidia:[33,34],nvtabular:[16,20,27,33],object:[21,22,28,29],organ:25,other:34,our:28,out:20,output:[16,20,27,31,33],over:[17,21,28],overview:[16,33],packag:[2,3,4,5,7,8,9,10,11,12,13,14,15],paper:[24,25],parallel:32,parquet:[27,28],path:[16,20,27],perform:32,pip:1,pipelin:33,pre:[16,20,34],predict:[28,31],prediction_task:12,preliminari:26,preprocess:[16,20,26],process:[16,20,31],product:27,proto:3,proto_util:5,python:18,pytorch:[17,18,35],ranking_metr:9,raw:[16,17],read:[26,27,28],recenc:[26,27],recommend:[17,18,19,21,22,23,24,28,29,34],recsi:36,refer:[17,18,28],registri:2,regular:31,relat:30,relationship:36,releas:25,remark:25,remov:[16,26],repeat:[16,26],reproduc:[24,25],request:[17,22],requir:[20,21,22,25,26],resourc:[30,34],respons:22,restart:28,rnn:[28,31],run:24,same:16,sampl:1,save:[16,21,28],schema:[4,8,17,21,22,28],schema_bp:3,schema_util:14,script:18,season:0,seen:[16,26],send:[17,22],sequenc:[11,31],sequenti:[16,21,27],sequentialblock:28,serv:[17,22],server:[17,22,33],session:[16,17,18,19,21,22,23,24,27,28,29,34],set:[17,21,22,27,28],setup:25,side:28,start:[17,22,23,24,29],submodul:[2,3,4,5,7,8,9,10,11,12,13,14,15],subpackag:[2,7,9],support:[1,34],synthet:[20,23,24],tabl:30,tabular:[11,13],tabularsequencefeatur:28,tag:4,tempor:27,text:11,time:[17,21,26,28],timestamp:[16,26],torch:[9,10,11,12,13,14,22],torch_util:14,trace:[17,22],train:[1,17,18,21,25,28,32,34,35],trainer:[8,9,17,28,32],transform:[8,10,13,16,17,21,28,31,33,36],transformers4rec:[0,1,7,8,9,10,11,12,13,14,15,17,21,24,25,28,30,34,36],triton:[17,22,33],tune:[17,21,28],tutori:[1,24,29],tying:28,type:[7,9],user:26,user_sess:26,using:[17,32],util:[5,14,15],valid:21,via:26,visual:17,weight:25,what:28,when:16,why:36,window:[17,21,28],within:16,workflow:[16,27],wrap:[27,28],xlnet:[21,28],your:0}})
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