Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Add info icon and simplified descriptions for terms in Layers Inventory #852

Merged
merged 5 commits into from
Jul 7, 2023
Merged

Add info icon and simplified descriptions for terms in Layers Inventory #852

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
6e904cc
Add info icon and simplified descriptions for terms in Layers Inventory
codingwithsurya Jul 7, 2023
3e8c5af
Prettified Code!
Jul 7, 2023
47648de
Merge branch 'nextjs' into feature-850
codingwithsurya Jul 7, 2023
11f9d5e
Add info icon to terms in Layers Inventory and add simplified descrip…
codingwithsurya Jul 7, 2023
da8dc80
Merge remote-tracking branch 'origin/feature-850' into feature-850
codingwithsurya Jul 7, 2023
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
14 changes: 7 additions & 7 deletions frontend/src/Home.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -45,7 +45,7 @@ const Home = () => {

// input responses
const [customModelName, setCustomModelName] = useState(
`Model ${new Date().toLocaleString()}`
`Model ${new Date().toLocaleString()}`,
);
const [fileURL, setFileURL] = useState("");
const [notificationPhoneNumber, setNotificationPhoneNumber] = useState();
Expand All @@ -55,11 +55,11 @@ const Home = () => {
const [features, setFeatures] = useState([]);
const [problemType, setProblemType] = useState(PROBLEM_TYPES[0]);
const [criterion, setCriterion] = useState(
problemType === PROBLEM_TYPES[0] ? CRITERIONS[3] : CRITERIONS[0]
problemType === PROBLEM_TYPES[0] ? CRITERIONS[3] : CRITERIONS[0],
);
const [optimizerName, setOptimizerName] = useState(OPTIMIZER_NAMES[0]);
const [usingDefaultDataset, setUsingDefaultDataset] = useState(
DEFAULT_DATASETS[0]
DEFAULT_DATASETS[0],
);
const [shuffle, setShuffle] = useState(BOOL_OPTIONS[1]);
const [epochs, setEpochs] = useState(5);
Expand All @@ -69,7 +69,7 @@ const Home = () => {
uploadedColumns.map((e, i) => ({
label: e.name,
value: i,
}))
})),
);
const [activeColumns, setActiveColumns] = useState([]);
const [beginnerMode, setBeginnerMode] = useState(true);
Expand Down Expand Up @@ -151,7 +151,7 @@ const Home = () => {
{
queryText: "Criterion",
options: CRITERIONS.filter((crit) =>
crit.problem_type.includes(problemType.value)
crit.problem_type.includes(problemType.value),
),
onChange: setCriterion,
defaultValue: criterion,
Expand Down Expand Up @@ -193,7 +193,7 @@ const Home = () => {

useEffect(() => {
setCriterion(
problemType === PROBLEM_TYPES[0] ? CRITERIONS[3] : CRITERIONS[0]
problemType === PROBLEM_TYPES[0] ? CRITERIONS[3] : CRITERIONS[0],
);
setInputKey((e) => e + 1);
}, [problemType]);
Expand Down Expand Up @@ -356,7 +356,7 @@ const Home = () => {
problemType={problemType}
/>
),
[dlpBackendResponse, problemType]
[dlpBackendResponse, problemType],
);

return (
Expand Down
8 changes: 4 additions & 4 deletions frontend/src/components_old/ClassicalMLModel/ClassicalMLModel.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -31,11 +31,11 @@ import DataTable from "react-data-table-component";

const ClassicalMLModel = () => {
const [customModelName, setCustomModelName] = useState(
`Model ${new Date().toLocaleString()}`
`Model ${new Date().toLocaleString()}`,
);
const [addedLayers, setAddedLayers] = useState([]);
const [usingDefaultDataset, setUsingDefaultDataset] = useState(
DEFAULT_DATASETS[0]
DEFAULT_DATASETS[0],
);
const [shuffle, setShuffle] = useState(BOOL_OPTIONS[1]);
const [email, setEmail] = useState("");
Expand All @@ -56,7 +56,7 @@ const ClassicalMLModel = () => {
uploadedColumns.map((e, i) => ({
label: e.name,
value: i,
}))
})),
);
const input_responses = {
shuffle: shuffle?.value,
Expand Down Expand Up @@ -138,7 +138,7 @@ const ClassicalMLModel = () => {
choice="classicalml"
/>
),
[dlpBackendResponse, PROBLEM_TYPES[0]]
[dlpBackendResponse, PROBLEM_TYPES[0]],
);

const onClick = () => {
Expand Down
4 changes: 2 additions & 2 deletions frontend/src/components_old/ImageModels/ImageModels.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -38,7 +38,7 @@ import {

const ImageModels = () => {
const [customModelName, setCustomModelName] = useState(
`Model ${new Date().toLocaleString()}`
`Model ${new Date().toLocaleString()}`,
);
const [addedLayers, setAddedLayers] = useState(DEFAULT_IMG_LAYERS);
const [trainTransforms, setTrainTransforms] = useState(DEFAULT_TRANSFORMS);
Expand Down Expand Up @@ -121,7 +121,7 @@ const ImageModels = () => {
problemType={PROBLEM_TYPES[0]}
/>
),
[dlpBackendResponse, PROBLEM_TYPES[0]]
[dlpBackendResponse, PROBLEM_TYPES[0]],
);

const onClick = () => {
Expand Down
14 changes: 7 additions & 7 deletions frontend/src/components_old/LearnMod/Exercise.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -40,11 +40,11 @@ const Exercise = (props) => {
const [features, setFeatures] = useState([]);
const [problemType, setProblemType] = useState(PROBLEM_TYPES[0]);
const [criterion, setCriterion] = useState(
problemType === PROBLEM_TYPES[0] ? CRITERIONS[3] : CRITERIONS[0]
problemType === PROBLEM_TYPES[0] ? CRITERIONS[3] : CRITERIONS[0],
);
const [optimizerName, setOptimizerName] = useState(OPTIMIZER_NAMES[0]);
const [usingDefaultDataset, setUsingDefaultDataset] = useState(
DEFAULT_DATASETS[0]
DEFAULT_DATASETS[0],
);
const [shuffle, setShuffle] = useState(BOOL_OPTIONS[1]);
const [epochs, setEpochs] = useState(5);
Expand All @@ -54,7 +54,7 @@ const Exercise = (props) => {
uploadedColumns.map((e, i) => ({
label: e.name,
value: i,
}))
})),
);
const [activeColumns, setActiveColumns] = useState([]);
const [finalAccuracy, setFinalAccuracy] = useState("");
Expand Down Expand Up @@ -128,7 +128,7 @@ const Exercise = (props) => {
{
queryText: "Criterion",
options: CRITERIONS.filter((crit) =>
crit.problem_type.includes(problemType.value)
crit.problem_type.includes(problemType.value),
),
onChange: setCriterion,
defaultValue: criterion,
Expand Down Expand Up @@ -182,7 +182,7 @@ const Exercise = (props) => {

useEffect(() => {
setCriterion(
problemType === PROBLEM_TYPES[0] ? CRITERIONS[3] : CRITERIONS[0]
problemType === PROBLEM_TYPES[0] ? CRITERIONS[3] : CRITERIONS[0],
);
setInputKey((e) => e + 1);
}, [problemType]);
Expand Down Expand Up @@ -220,7 +220,7 @@ const Exercise = (props) => {
useEffect(() => {
if (dlpBackendResponse != null) {
setFinalAccuracy(
dlpBackendResponse["dl_results"][epochs - 1]["train_acc"]
dlpBackendResponse["dl_results"][epochs - 1]["train_acc"],
);
}

Expand Down Expand Up @@ -303,7 +303,7 @@ const Exercise = (props) => {
/>
</div>
),
[dlpBackendResponse, problemType]
[dlpBackendResponse, problemType],
);

return (
Expand Down
8 changes: 4 additions & 4 deletions frontend/src/components_old/ObjectDetection/ObjectDetection.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -28,7 +28,7 @@ import FilerobotImageEditor, {

const ObjectDetection = () => {
const [customModelName, setCustomModelName] = useState(
`Model ${new Date().toLocaleString()}`
`Model ${new Date().toLocaleString()}`,
);
const [problemType, setProblemType] = useState("");
const [detectionType, setDetectionType] = useState("");
Expand All @@ -37,7 +37,7 @@ const ObjectDetection = () => {
const [inputKey, setInputKey] = useState(0);
const [uploadFile, setUploadFile] = useState(null);
const [imageTransforms, setImageTransforms] = useState(
DEFAULT_DETECTION_TRANSFORMS
DEFAULT_DETECTION_TRANSFORMS,
);

const input_responses = {
Expand Down Expand Up @@ -71,7 +71,7 @@ const ObjectDetection = () => {
choice="objectdetection"
/>
),
[dlpBackendResponse, OBJECT_DETECTION_PROBLEM_TYPES[0]]
[dlpBackendResponse, OBJECT_DETECTION_PROBLEM_TYPES[0]],
);

const onClick = () => {
Expand Down Expand Up @@ -126,7 +126,7 @@ const ObjectDetection = () => {
onSave={(editedImageObject) => {
const file = dataURLtoFile(
editedImageObject.imageBase64,
editedImageObject.fullName
editedImageObject.fullName,
);
setUploadFile(file);
}}
Expand Down
Loading