Dvc dvc.yaml

This commit is contained in:
Jan Nowak 2021-06-12 17:19:51 +02:00
parent 605b2efe80
commit da4c2ad269
12 changed files with 567 additions and 2 deletions

3
.dvc/.gitignore vendored Normal file
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/config.local
/tmp
/cache

4
.dvc/config Normal file
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[core]
remote = ium_ssh_remote
['remote "ium_ssh_remote"']
url = ssh://ium-sftp@tzietkiewicz.vm.wmi.amu.edu.pl/ium-sftp

107
.dvc/plots/confusion.json Normal file
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{
"$schema": "https://vega.github.io/schema/vega-lite/v4.json",
"data": {
"values": "<DVC_METRIC_DATA>"
},
"title": "<DVC_METRIC_TITLE>",
"facet": {
"field": "rev",
"type": "nominal"
},
"spec": {
"transform": [
{
"aggregate": [
{
"op": "count",
"as": "xy_count"
}
],
"groupby": [
"<DVC_METRIC_Y>",
"<DVC_METRIC_X>"
]
},
{
"impute": "xy_count",
"groupby": [
"rev",
"<DVC_METRIC_Y>"
],
"key": "<DVC_METRIC_X>",
"value": 0
},
{
"impute": "xy_count",
"groupby": [
"rev",
"<DVC_METRIC_X>"
],
"key": "<DVC_METRIC_Y>",
"value": 0
},
{
"joinaggregate": [
{
"op": "max",
"field": "xy_count",
"as": "max_count"
}
],
"groupby": []
},
{
"calculate": "datum.xy_count / datum.max_count",
"as": "percent_of_max"
}
],
"encoding": {
"x": {
"field": "<DVC_METRIC_X>",
"type": "nominal",
"sort": "ascending",
"title": "<DVC_METRIC_X_LABEL>"
},
"y": {
"field": "<DVC_METRIC_Y>",
"type": "nominal",
"sort": "ascending",
"title": "<DVC_METRIC_Y_LABEL>"
}
},
"layer": [
{
"mark": "rect",
"width": 300,
"height": 300,
"encoding": {
"color": {
"field": "xy_count",
"type": "quantitative",
"title": "",
"scale": {
"domainMin": 0,
"nice": true
}
}
}
},
{
"mark": "text",
"encoding": {
"text": {
"field": "xy_count",
"type": "quantitative"
},
"color": {
"condition": {
"test": "datum.percent_of_max > 0.5",
"value": "white"
},
"value": "black"
}
}
}
]
}
}

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{
"$schema": "https://vega.github.io/schema/vega-lite/v4.json",
"data": {
"values": "<DVC_METRIC_DATA>"
},
"title": "<DVC_METRIC_TITLE>",
"facet": {
"field": "rev",
"type": "nominal"
},
"spec": {
"transform": [
{
"aggregate": [
{
"op": "count",
"as": "xy_count"
}
],
"groupby": [
"<DVC_METRIC_Y>",
"<DVC_METRIC_X>"
]
},
{
"impute": "xy_count",
"groupby": [
"rev",
"<DVC_METRIC_Y>"
],
"key": "<DVC_METRIC_X>",
"value": 0
},
{
"impute": "xy_count",
"groupby": [
"rev",
"<DVC_METRIC_X>"
],
"key": "<DVC_METRIC_Y>",
"value": 0
},
{
"joinaggregate": [
{
"op": "sum",
"field": "xy_count",
"as": "sum_y"
}
],
"groupby": [
"<DVC_METRIC_Y>"
]
},
{
"calculate": "datum.xy_count / datum.sum_y",
"as": "percent_of_y"
}
],
"encoding": {
"x": {
"field": "<DVC_METRIC_X>",
"type": "nominal",
"sort": "ascending",
"title": "<DVC_METRIC_X_LABEL>"
},
"y": {
"field": "<DVC_METRIC_Y>",
"type": "nominal",
"sort": "ascending",
"title": "<DVC_METRIC_Y_LABEL>"
}
},
"layer": [
{
"mark": "rect",
"width": 300,
"height": 300,
"encoding": {
"color": {
"field": "percent_of_y",
"type": "quantitative",
"title": "",
"scale": {
"domain": [
0,
1
]
}
}
}
},
{
"mark": "text",
"encoding": {
"text": {
"field": "percent_of_y",
"type": "quantitative",
"format": ".2f"
},
"color": {
"condition": {
"test": "datum.percent_of_y > 0.5",
"value": "white"
},
"value": "black"
}
}
}
]
}
}

31
.dvc/plots/default.json Normal file
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{
"$schema": "https://vega.github.io/schema/vega-lite/v4.json",
"data": {
"values": "<DVC_METRIC_DATA>"
},
"title": "<DVC_METRIC_TITLE>",
"width": 300,
"height": 300,
"mark": {
"type": "line"
},
"encoding": {
"x": {
"field": "<DVC_METRIC_X>",
"type": "quantitative",
"title": "<DVC_METRIC_X_LABEL>"
},
"y": {
"field": "<DVC_METRIC_Y>",
"type": "quantitative",
"title": "<DVC_METRIC_Y_LABEL>",
"scale": {
"zero": false
}
},
"color": {
"field": "rev",
"type": "nominal"
}
}
}

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.dvc/plots/linear.json Normal file
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{
"$schema": "https://vega.github.io/schema/vega-lite/v4.json",
"data": {
"values": "<DVC_METRIC_DATA>"
},
"title": "<DVC_METRIC_TITLE>",
"width": 300,
"height": 300,
"layer": [
{
"encoding": {
"x": {
"field": "<DVC_METRIC_X>",
"type": "quantitative",
"title": "<DVC_METRIC_X_LABEL>"
},
"y": {
"field": "<DVC_METRIC_Y>",
"type": "quantitative",
"title": "<DVC_METRIC_Y_LABEL>",
"scale": {
"zero": false
}
},
"color": {
"field": "rev",
"type": "nominal"
}
},
"layer": [
{
"mark": "line"
},
{
"selection": {
"label": {
"type": "single",
"nearest": true,
"on": "mouseover",
"encodings": [
"x"
],
"empty": "none",
"clear": "mouseout"
}
},
"mark": "point",
"encoding": {
"opacity": {
"condition": {
"selection": "label",
"value": 1
},
"value": 0
}
}
}
]
},
{
"transform": [
{
"filter": {
"selection": "label"
}
}
],
"layer": [
{
"mark": {
"type": "rule",
"color": "gray"
},
"encoding": {
"x": {
"field": "<DVC_METRIC_X>",
"type": "quantitative"
}
}
},
{
"encoding": {
"text": {
"type": "quantitative",
"field": "<DVC_METRIC_Y>"
},
"x": {
"field": "<DVC_METRIC_X>",
"type": "quantitative"
},
"y": {
"field": "<DVC_METRIC_Y>",
"type": "quantitative"
}
},
"layer": [
{
"mark": {
"type": "text",
"align": "left",
"dx": 5,
"dy": -5
},
"encoding": {
"color": {
"type": "nominal",
"field": "rev"
}
}
}
]
}
]
}
]
}

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.dvc/plots/scatter.json Normal file
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{
"$schema": "https://vega.github.io/schema/vega-lite/v4.json",
"data": {
"values": "<DVC_METRIC_DATA>"
},
"title": "<DVC_METRIC_TITLE>",
"width": 300,
"height": 300,
"layer": [
{
"encoding": {
"x": {
"field": "<DVC_METRIC_X>",
"type": "quantitative",
"title": "<DVC_METRIC_X_LABEL>"
},
"y": {
"field": "<DVC_METRIC_Y>",
"type": "quantitative",
"title": "<DVC_METRIC_Y_LABEL>",
"scale": {
"zero": false
}
},
"color": {
"field": "rev",
"type": "nominal"
}
},
"layer": [
{
"mark": "point"
},
{
"selection": {
"label": {
"type": "single",
"nearest": true,
"on": "mouseover",
"encodings": [
"x"
],
"empty": "none",
"clear": "mouseout"
}
},
"mark": "point",
"encoding": {
"opacity": {
"condition": {
"selection": "label",
"value": 1
},
"value": 0
}
}
}
]
},
{
"transform": [
{
"filter": {
"selection": "label"
}
}
],
"layer": [
{
"encoding": {
"text": {
"type": "quantitative",
"field": "<DVC_METRIC_Y>"
},
"x": {
"field": "<DVC_METRIC_X>",
"type": "quantitative"
},
"y": {
"field": "<DVC_METRIC_Y>",
"type": "quantitative"
}
},
"layer": [
{
"mark": {
"type": "text",
"align": "left",
"dx": 5,
"dy": -5
},
"encoding": {
"color": {
"type": "nominal",
"field": "rev"
}
}
}
]
}
]
}
]
}

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.dvc/plots/smooth.json Normal file
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{
"$schema": "https://vega.github.io/schema/vega-lite/v4.json",
"data": {
"values": "<DVC_METRIC_DATA>"
},
"title": "<DVC_METRIC_TITLE>",
"mark": {
"type": "line"
},
"encoding": {
"x": {
"field": "<DVC_METRIC_X>",
"type": "quantitative",
"title": "<DVC_METRIC_X_LABEL>"
},
"y": {
"field": "<DVC_METRIC_Y>",
"type": "quantitative",
"title": "<DVC_METRIC_Y_LABEL>",
"scale": {
"zero": false
}
},
"color": {
"field": "rev",
"type": "nominal"
}
},
"transform": [
{
"loess": "<DVC_METRIC_Y>",
"on": "<DVC_METRIC_X>",
"groupby": [
"rev"
],
"bandwidth": 0.3
}
]
}

1
.gitignore vendored
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@ -11,5 +11,4 @@ my_model
mydb.sqlite mydb.sqlite
movies_on_streaming_platforms_model.zip movies_on_streaming_platforms_model.zip
movies_on_streaming_platforms_model movies_on_streaming_platforms_model
.dvc
Global_Superstore2.csv Global_Superstore2.csv

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@ -31,7 +31,7 @@ class LayerLinearRegression(nn.Module):
@ex.config @ex.config
def my_config(): def my_config():
lr = 1e-3 lr = 1e-3
n_epochs = 100 n_epochs = 20
@ex.capture @ex.capture
def train(lr, n_epochs, _run): def train(lr, n_epochs, _run):

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dvc.lock Normal file
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schema: '2.0'
stages:
prepare:
cmd: python3 create_dataset.py
deps:
- path: create_dataset.py
md5: 4d9e4ab135195a41948fb916eb6727a8
size: 2091
outs:
- path: train_dataset.pt
md5: 0da09964bb62e996ad8b77ed47a4d01d
size: 15797
isexec: true
- path: val_dataset.pt
md5: 90daa3482176c8e3911935e3aa28d93c
size: 13365
isexec: true
train:
cmd: python3 dlgssdpytorch.py
deps:
- path: dlgssdpytorch.py
md5: 14e2d549d164c18e69e45c445a8e0982
size: 4906
- path: train_dataset.pt
md5: 0da09964bb62e996ad8b77ed47a4d01d
size: 15797
- path: val_dataset.pt
md5: 90daa3482176c8e3911935e3aa28d93c
size: 13365
outs:
- path: model.pt
md5: edd3adcee97259e2f23731dfdf5356c7
size: 1397
isexec: true

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dvc.yaml Normal file
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stages:
prepare:
cmd: python3 create_dataset.py
deps:
- create_dataset.py
outs:
- train_dataset.pt
- val_dataset.pt
train:
cmd: python3 dlgssdpytorch.py
deps:
- dlgssdpytorch.py
- train_dataset.pt
- val_dataset.pt
outs:
- model.pt