From ccfcc547b2b1e8595e8a672c5304809723c321d4 Mon Sep 17 00:00:00 2001 From: janezd Date: Mon, 23 Sep 2024 10:20:02 +0200 Subject: [PATCH] Resolve missing/redundant translations --- i18n/si/msgs.jaml | 237 +++++++++++++++++++++++++++++++++++----------- 1 file changed, 183 insertions(+), 54 deletions(-) diff --git a/i18n/si/msgs.jaml b/i18n/si/msgs.jaml index 620faf7820..7c059d4ed4 100644 --- a/i18n/si/msgs.jaml +++ b/i18n/si/msgs.jaml @@ -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 @@ -858,6 +858,7 @@ data/domain.py: _variables: false _indices: false _hash: false + _eq_cache: false def `from_numpy`: def `get_name`: {} {:0{}}: false @@ -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 @@ -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 @@ -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__`: @@ -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`: @@ -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 @@ -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 @@ -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`: @@ -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 @@ -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 @@ -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. + ' + + + + + + + + + + + + + + + + +
Corr = 0Corr = 100
Train{intercept_tr:.4f}{y_tr:.4f}
CV{intercept_cv:.4f}{y_cv:.4f}
+ ': false + def `send_report`: + Settings: Nastavitve + Permutations: Permutacije + Info: Informacije + Plot: Graf + __main__: false + iris: false widgets/evaluate/owpredictions.py: PredictorSlot: false predictor: false @@ -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 @@ -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 @@ -10303,6 +10419,8 @@ widgets/model/owsvm.py: Polynomial, ({g:.4} x⋅y + {c:.4}){d}: Polinomsko, ({g:.4} x⋅y + {c:.4}){d} 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: @@ -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 @@ -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 @@ -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 @@ -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 @@ -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