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Resolve missing/redundant translations #6901

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Sep 30, 2024
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Resolve missing/redundant translations #6901

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237 changes: 183 additions & 54 deletions i18n/si/msgs.jaml
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Original file line number Diff line number Diff line change
Expand Up @@ -202,9 +202,9 @@ util.py:
def `funcv`:
unsafe: false
version.py:
3.37.0: false
3.37.0.dev0+f49e020: false
f49e020957eaf15fea4bab426141dd2942f9deac: false
3.38.0: false
3.38.0.dev0+c767157: false
c7671579ac399d27a1b5fb21c31f870448db9ed8: false
.dev: false
canvas/__main__.py:
ORANGE_STATISTICS_API_URL: false
Expand Down Expand Up @@ -858,6 +858,7 @@ data/domain.py:
_variables: false
_indices: false
_hash: false
_eq_cache: false
def `from_numpy`:
def `get_name`:
{} {:0{}}: false
Expand Down Expand Up @@ -2192,6 +2193,8 @@ evaluation/testing.py:
test_data: false
def `fit`:
Validation.fit is deprecated; use the call operator: false
def `_collect_part_results`:
Multiple targets are not supported.: Večrazredni problemi niso podprti.
class `CrossValidation`:
def `get_indices`:
Using non-stratified sampling.: false
Expand Down Expand Up @@ -2352,11 +2355,6 @@ misc/lazy_module.py:
def `_do_import`:
Orange.: false
Orange: false
misc/openpyxl_patch.py:
def `read_worksheets`:
"Cell '{0}':{1} is part of a merged range but has a comment which will ": false
be removed because merged cells cannot contain any data.: false
chartsheet: false
misc/server_embedder.py:
TaskItem: false
id: false
Expand Down Expand Up @@ -3004,41 +3002,15 @@ projection/pca.py:
SparsePCA: false
IncrementalPCA: false
TruncatedSVD: false
def `randomized_pca`:
auto: false
f: false
economic: false
class `ImprovedPCA`:
def `_fit`:
csr: false
csc: false
arpack: false
auto: false
randomized: false
mle: false
full: false
only the randomized solver supports sparse matrices: false
Unrecognized svd_solver='{0}': false
def `_fit_truncated`:
n_components=%r cannot be a string with svd_solver='%s': false
'n_components=%r must be between 1 and min(n_samples, ': false
n_features)=%r with svd_solver='%s': false
'n_components=%r must be of type int when greater than or ': false
equal to 1, was of type=%r: false
arpack: false
'n_components=%r must be strictly less than min(n_samples, ': false
randomized: false
def `transform`:
mean_: false
components_: false
csr: false
csc: false
class `PCA`:
PCA: false
def `__init__`:
auto: false
def `fit`:
n_components: false
svd_solver: false
auto: false
arpack: false
class `SparsePCA`:
Sparse PCA: false
def `__init__`:
Expand Down Expand Up @@ -3183,6 +3155,41 @@ regression/neural_network.py:
class `NNRegressionLearner`:
def `_initialize_wrapped`:
callback: false
regression/pls.py:
PLSRegressionLearner: false
class `PLSModel`:
PLS T: false
PLS U: false
def `__str__`:
PLSModel {self.skl_model}: false
def `_get_var_names`:
{prefix}{postfix}: false
def `project`:
PLSModel can only project tables: false
def `components`:
components: false
Component {i + 1}: false
def `coefficients_table`:
coef {i}: false
name: false
coefficients: false
def `residuals_normal_probability`:
{name} ({var.name}): false
Sample Quantiles: Vzorčni kvantili:
Theoretical Quantiles: Teoretični kvantili:
residuals normal probability: verjetnosti residualov
def `dmodx`:
DModX: false
DMod: false
class `PLSRegressionLearner`:
def `fit`:
n_components: false
def `incompatibility_reason`:
Numeric targets expected.: false
Only numeric target variables expected.: false
__main__: false
housing: false
'learner: {learner}\nRMSE: {ca}\n': true
regression/random_forest.py:
RandomForestRegressionLearner: false
class `RandomForestRegressor`:
Expand Down Expand Up @@ -5400,12 +5407,6 @@ widgets/data/owdiscretize.py:
widgets/data/oweditdomain.py:
V: false
H: false
class `_DataType`:
def `name_type`:
Categorical: false
Real: false
Time: false
String: false
class `Categorical`:
Categorical: false
name: false
Expand Down Expand Up @@ -5628,6 +5629,9 @@ widgets/data/oweditdomain.py:
Data: Podatki
class `Error`:
A variable name is duplicated.: Ime spremenljivke je podvojeno.
class `Warning`:
Failed to restore transform {} for column {}: Ne morem obnoviti transformacije {} za stolpec {}
Categories mapping for {} does not apply to current input: Preslikava kategorij za {} ne velja za trenutne podatke.
def `__init__`:
Variables: Spremenljivke
Edit: Uredi
Expand All @@ -5642,8 +5646,8 @@ widgets/data/oweditdomain.py:
Apply: Potrdi
button-apply: false
Apply changes and commit data on output.: Potrdi spremembe in pošlji podatke na izhod.
def `_restore_transform`:
'Failed to restore transform: {t}, {err}': false
def `_restore`:
', ': false
def `_set_modified`:
button-apply: false
def `send_report`:
Expand Down Expand Up @@ -5810,10 +5814,11 @@ Categorical features are passed as strings
class `FeatureItemDelegate`:
def `displayText`:
' := ': false
class `FeatureConstructorHandler`:
def `is_valid_item`:
eval: false
__GLOBALS: false
class `_FeatureConstructorHandler`:
def `initialize`:
descriptors: false
expressions_with_values: false
currentIndex: false
class `OWFeatureConstructor`:
Formula: true
'Construct new features (data columns) from a set of ': Sestavi nove značilke, izračunane
Expand All @@ -5829,9 +5834,9 @@ Categorical features are passed as strings
Categorical feature {} needs more values.: Kategorična spremenljivka {} potrebuje več vrednosti.
'Invalid expressions: {}.': Nepravilen izraz: {}
{}: false
class `Warning`:
'Recently added variable has been renamed, ': 'Nove spremenljivke so preimenovane '
to avoid duplicates.\n: zaradi ponovljenih imen.
class `Information`:
'A new variable that is named the same as an existing one will ': 'Nova spremenljivka z enakim imenom kot obstoječa bo '
replace it on the output.: zamenjala obstoječo.
def `__init__`:
Variable Definitions: Definicije spremenljivk
New: Nova
Expand Down Expand Up @@ -8917,6 +8922,80 @@ widgets/evaluate/owliftcurve.py:
array dimensions don't match: false
mergesort: false
__main__: false
widgets/evaluate/owpermutationplot.py:
def `permutation`:
Calculating...: Računam...
class `ParameterSetter`:
Gridlines: Mrežne črte
Show: Pokaži
def `axis_items`:
item: false
class `PermutationPlot`:
def `__init__`:
Correlation between original Y and permuted Y (%): Korelacija med izvirno Y in permutiranim Y (%)
bottom: false
def `set_data`:
left: false
AUC: true
'#000': false
'#333': false
pen: false
symbol: false
o: false
brush: false
'#6fa255': false
s: false
'#3a78b6': false
size: false
hoverable: false
tip: false
'x: {x:.3g}\ny: {y:.3g}': false
Train: Testni
CV: Prečno preverjanje
class `OWPermutationPlot`:
Permutation Plot: Permutacijska krivulja
Permutation analysis plotting: Prikaz permutacijske analize
icons/PermutationPlot.svg: false
graph.plotItem: false
class `Inputs`:
Data: Podatki
Learner: Učni algoritem
class `Error`:
{}: false
At least {N_FOLD} instances are needed.: Potrebujemo vsaj {N_FOLD} primerov.
def `_add_controls`:
Settings: Nastavitve
n_permutations: false
Permutations:: Permutacije:
Info: Informacije
def `__set_info`:
No data available.: Ni podatkov.
'
<table width=100% align="center" style="font-size:11px">
<tr style="background:#fefefe">
<th style="background:transparent;padding: 2px 4px"></th>
<th style="background:transparent;padding: 2px 4px">Corr = 0</th>
<th style="background:transparent;padding: 2px 4px">Corr = 100</th>
</tr>
<tr style="background:#fefefe">
<th style="padding: 2px 4px" align=right>Train</th>
<td style="padding: 2px 4px" align=right>{intercept_tr:.4f}</td>
<td style="padding: 2px 4px" align=right>{y_tr:.4f}</td>
</tr>
<tr style="background:#fefefe">
<th style="padding: 2px 4px" align=right>CV</th>
<td style="padding: 2px 4px" align=right>{intercept_cv:.4f}</td>
<td style="padding: 2px 4px" align=right>{y_cv:.4f}</td>
</tr>
</table>
': false
def `send_report`:
Settings: Nastavitve
Permutations: Permutacije
Info: Informacije
Plot: Graf
__main__: false
iris: false
widgets/evaluate/owpredictions.py:
PredictorSlot: false
predictor: false
Expand Down Expand Up @@ -9449,7 +9528,7 @@ widgets/model/owadaboost.py:
iris: false
widgets/model/owcalibratedlearner.py:
class `OWCalibratedLearner`:
Calibrated Learner: Kalibriran model
Calibrated Learner: Kalibriran učni algoritem
'Wraps another learner with probability calibration and ': 'Ovije drug učni algoritem z modelom za kalibracijo verjetnosti '
decision threshold optimization: in optimiranje klasifikacijskega praga.
icons/CalibratedLearner.svg: false
Expand Down Expand Up @@ -9933,6 +10012,43 @@ widgets/model/owneuralnetwork.py:
alpha_index: false
__main__: false
iris: false
widgets/model/owpls.py:
class `OWPLS`:
PLS: true
Partial Least Squares Regression widget for multivariate data analysis: PLS regresija za multivariatno analizo podatkov
icons/PLS.svg: false
partial least squares: partial least squares, pls, regresija
class `Outputs`:
Coefficients and Loadings: Koeficienti in uteži
Data with Scores: Podatki z rezultati
Components: Komponente
class `Warning`:
'Sparse input data: default preprocessing is to scale it.': 'Redki vhodni podatki: privzeta predobdelava je skaliranje.'
def `add_main_layout`:
Optimization Parameters: Optimizacijski parametri
n_components: false
'Components: ': 'Komponente: '
max_iter: false
'Iteration limit: ': 'Omejitev iteracij: '
scale: false
Scale features and target: Skaliraj spremenljivke in ciljno spremenljivko
def `_create_output_coeffs_loadings`:
coef ({v.name}): koef ({v.name})
coef/X_sd ({v.name}): koef/X_sd ({v.name})
w*c {i + 1}: true
Variable name: Ime spremenljivke
Variable role: Vloga spremenljivke
Feature: Značilka
Target: Cilj
intercept: odsek
Coefficients and Loadings: Koeficienti in uteži
def `set_data`:
Data has no target variable.\n: Podatki nimajo ciljne spremenljivke.\n
Select one with the Select Columns widget.: Izberite jo z gradnikom Izberi stolpce.
def `create_learner`:
preprocessors: false
__main__: false
housing: false
widgets/model/owrandomforest.py:
class `OWRandomForest`:
Random Forest: Naključni gozd
Expand Down Expand Up @@ -10303,6 +10419,8 @@ widgets/model/owsvm.py:
Polynomial, ({g:.4} x⋅y + {c:.4})<sup>{d}</sup>: Polinomsko, ({g:.4} x⋅y + {c:.4})<sup>{d}</sup>
RBF, exp(-{:.4}|x-y|²): true
Sigmoid, tanh({g:.4} x⋅y + {c:.4}): Sigmoidno, tanh({g:.4} x⋅y + {c:.4})
def `migrate_settings`:
degree: false
__main__: false
iris: false
widgets/model/owtree.py:
Expand Down Expand Up @@ -10830,6 +10948,7 @@ widgets/unsupervised/owdistances.py:
Pearson (absolute): Pearsonova (absolutna)
Absolute value of Pearson correlation; distance = 1 - |ρ|: Absolutna vrednost Pearsonove korelacije; razdalja = 1 - |ρ|
Spearman: Spearmanova
Spearman correlation; distance = 1 - ρ/2: Spearmanova korelacija; razdalja = 1 - ρ/2
Spearman (absolute): Spearmanova (absolutna)
Jaccard: Jaccardova
Jaccard distance: Jaccardova razdalja
Expand Down Expand Up @@ -10963,6 +11082,8 @@ widgets/unsupervised/owhierarchicalclustering.py:
Some data from the subset does not appear in distance matrix: Nekateri izmed primerov v vhodnih podatkih se ne pojavijo v matriki razdalj.
Subset data refers to a different table: Podmnožica podatkov pripada drugi tabeli podatkov.
Pruned cluster doesn't show colors and indicate subset: Porezano gručenje ne kaže barv in podmnožic.
'Variables with too many values may ': 'Spremenljivke z veliko vrednostmi lahko '
degrade the performance of downstream widgets.: poslabšajo delovanje kasnejših gradnikov.
def `__init__`:
M: false
linkage: false
Expand Down Expand Up @@ -12379,6 +12500,11 @@ widgets/utils/messages.py:
MessageGroup: false
MessagesMixin: false
WidgetMessagesMixin: false
widgets/utils/multi_target.py:
Multiple targets are not supported.: Večrazredni problemi niso podprti.
def `check_multiple_targets_input`:
def `new_f`:
multiple_targets_data: false
widgets/utils/overlay.py:
OverlayWidget: false
MessageWidget: false
Expand Down Expand Up @@ -14294,7 +14420,7 @@ widgets/visualize/owscatterplot.py:
label: false
def `update_reg_line_label_colors`:
label: false
def `update_regression_line`:
def `_update_curve`:
'#505050': false
class `OWScatterPlot`:
Scatter Plot: Razsevni diagram
Expand All @@ -14317,6 +14443,9 @@ widgets/visualize/owscatterplot.py:
Treat variables as independent: Obravnavaj spremenljivki kot neodvisni
If checked, fit line to group (minimize distance from points);\n: Če je opcija izbrana, je črta postavljena čim bližje točkam;
otherwise fit y as a function of x (minimize vertical distances): sicer pa minimizira samo razdaljo v smeri y.
graph.show_ellipse: false
Show confidence ellipse: Prikaz elipse zaupanja
Hotelling's T² confidence ellipse (α=95%): Hotellingova elipsa zaupanja T² (α=95%)
def `_add_controls_axis`:
Axes: Osi
attr_x: false
Expand Down
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