diff --git a/MANIFEST.in b/MANIFEST.in index a8c98a5a74a..e2a1273016f 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -16,6 +16,8 @@ recursive-include distribute *.svg *.desktop include requirements*.txt +recursive-include i18n *.jaml *.yaml + include README.md include README.pypi include CONTRIBUTING.md diff --git a/Orange/widgets/data/owpreprocess.py b/Orange/widgets/data/owpreprocess.py index 7a6e7342699..d771b11436f 100644 --- a/Orange/widgets/data/owpreprocess.py +++ b/Orange/widgets/data/owpreprocess.py @@ -738,9 +738,12 @@ def createinstance(params): def __repr__(self): if self.__strategy == self.Fixed: - return f"select {self.__k} {pl(self.__k,'feature')}" + # private attributes may not appear translated strings + num = self.__k + return f"select {num} {pl(num,'feature')}" else: - return f"select {self.__p} % features" + perc = self.__p + return f"select {perc} % features" def index_to_enum(enum, i): diff --git a/conda-recipe/meta.yaml b/conda-recipe/meta.yaml index 10725105a87..b3c6138cc03 100644 --- a/conda-recipe/meta.yaml +++ b/conda-recipe/meta.yaml @@ -37,7 +37,7 @@ requirements: run: - python # GUI requirements - - orange-canvas-core >=0.2.0,<0.3a + - orange-canvas-core >=0.2.2,<0.3a - orange-widget-base >=4.23.0 - anyqt >=0.2.0 - pyqt >=5.12,!=5.15.1,<6.0 diff --git a/i18n/si/msgs.jaml b/i18n/si/msgs.jaml index 7c059d4ed46..86e160cb63c 100644 --- a/i18n/si/msgs.jaml +++ b/i18n/si/msgs.jaml @@ -2194,7 +2194,7 @@ evaluation/testing.py: def `fit`: Validation.fit is deprecated; use the call operator: false def `_collect_part_results`: - Multiple targets are not supported.: Večrazredni problemi niso podprti. + Multiple targets are not supported.: Ocenjevanje modelov z več razredi ni podprto. class `CrossValidation`: def `get_indices`: Using non-stratified sampling.: false @@ -2600,8 +2600,8 @@ preprocess/discretize.py: month: mesec %Y: false year: leto - {step // 7} week{'s' * (step > 7)}: {step // 7} {plsi(step // 7, "teden|tedna|tedni|tednov")} - {step} {unit}{'s' * (step > 1)}: {step} {plsi(step, dict(dan="dan|dneva|dnevi|dni", teden="teden|tedna|tedni|tednov", mesec="mesec|meseca|meseci|mesecev", leto="leto|leti|leta|let").get(unit, unit))} + {step // 7} week{'s' * (step > 7)}: {step // 7} {plsi(step // 7, 'teden|tedna|tedni|tednov')} + {step} {unit}{'s' * (step > 1)}: {step} {plsi(step, dict(dan='dan|dneva|dnevi|dni', teden='teden|tedna|tedni|tednov', mesec='mesec|meseca|meseci|mesecev', leto='leto|leti|leta|let').get(unit, unit))} def `_simplified_labels`: 42: false ' ': false @@ -3167,17 +3167,17 @@ regression/pls.py: def `project`: PLSModel can only project tables: false def `components`: - components: false - Component {i + 1}: false + components: komponente + Component {i + 1}: Komponenta {i + 1} def `coefficients_table`: - coef {i}: false - name: false - coefficients: false + coef {i}: koef {i} + name: ime + coefficients: koeficienti def `residuals_normal_probability`: - {name} ({var.name}): false - Sample Quantiles: Vzorčni kvantili: - Theoretical Quantiles: Teoretični kvantili: - residuals normal probability: verjetnosti residualov + {name} ({var.name}): true + Sample Quantiles: Vzorčni kvantili + Theoretical Quantiles: Teoretični kvantili + residuals normal probability: verjetnost normalnih residualov def `dmodx`: DModX: false DMod: false @@ -3185,11 +3185,11 @@ regression/pls.py: def `fit`: n_components: false def `incompatibility_reason`: - Numeric targets expected.: false - Only numeric target variables expected.: false + Numeric targets expected.: Metoda zahteva številčne ciljne spremenljivke. + Only numeric target variables expected.: Metoda deluje le za številčne ciljne spremenljivke. __main__: false housing: false - 'learner: {learner}\nRMSE: {ca}\n': true + 'learner: {learner}\nRMSE: {ca}\n': false regression/random_forest.py: RandomForestRegressionLearner: false class `RandomForestRegressor`: @@ -4264,7 +4264,7 @@ widgets/data/owaggregatecolumns.py: class `Outputs`: Data: Podatki class `Warning`: - Some input features are categorical:\n{}: Nekatere vhodne spremenljivke so kategorične:\{} + Some input features are categorical:\n{}: Nekatere vhodne spremenljivke so kategorične:\n{} Some input features are missing:\n{}: Nekatere vhodne spremenljivke manjkajo:\n{} Sum: Vsota Product: Produkt @@ -5646,7 +5646,7 @@ 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`: + def `_update_restore_warnings`: ', ': false def `_set_modified`: button-apply: false @@ -7009,8 +7009,8 @@ widgets/data/owpreprocess.py: k: false p: false def `__repr__`: - select {self.__k} {pl(self.__k,'feature')}: izbor {self.__k} {plsi(self.__k,'primer')} - select {self.__p} % features: izbor {self.__p} % primerov + select {num} {pl(num,'feature')}: izbor {num} {plsi(num,'primer')} + select {perc} % features: izbor {perc} % primerov class `Scale`: Standardize to μ=0, σ²=1: Standardiziraj (μ=0, σ²=1) Center to μ=0: Centriraj (μ=0) @@ -8208,15 +8208,15 @@ widgets/data/utils/tablesummary.py: sparse: redki tags: oznake ' ({tag}, density {dens:.2f} %)': ' ({tag}, gostota {dens:.2f} %)' - {ninst} {pl(ninst, 'instance')}: {ninst} {plsi(ninst, "primer")} - ~{ninst} {pl(ninst, 'instance')}: ~{ninst} {plsi(ninst, "primer")} + {ninst} {pl(ninst, 'instance')}: {ninst} {plsi(ninst, 'primer')} + ~{ninst} {pl(ninst, 'instance')}: ~{ninst} {plsi(ninst, 'primer')} ' (no missing data)': ' (ni manjkajočih podatkov)' {nattrs} {pl(nattrs, 'feature')}: {nattrs} {plsi(nattrs, 'spremenljivka')} No target variable.: Ni ciljne spremenljivke. {nclasses} {pl(nclasses, 'outcome')}: {nclasses} {plsi(nclasses, 'ciljna spremenljivka|ciljni spremenljivki|ciljne spremenljivke|ciljnih spremenljivk')} Numeric outcome: Številska ciljna spremenljivka - Target with {nvalues} {pl(nvalues, 'value')}: Ciljna spremenljivka {plsi_sz(nvalues)} {z_besedo(nvalues, 6, "m")} {plsi(nvalues, "razredom|razredoma|razredi")} - {nmetas} {pl(nmetas, 'meta attribute')}: {nmetas} meta {plsi(nmetas, "spremenljivka")} + Target with {nvalues} {pl(nvalues, 'value')}: Ciljna spremenljivka {plsi_sz(nvalues)} {z_besedo(nvalues, 6, 'm')} {plsi(nvalues, 'razredom|razredoma|razredi')} + {nmetas} {pl(nmetas, 'meta attribute')}: {nmetas} meta {plsi(nmetas, 'spremenljivka')} No meta attributes.: Ni meta spremenljivk. widgets/data/utils/tableview.py: class `DataTableView`: @@ -8932,29 +8932,29 @@ widgets/evaluate/owpermutationplot.py: item: false class `PermutationPlot`: def `__init__`: - Correlation between original Y and permuted Y (%): Korelacija med izvirno Y in permutiranim Y (%) + Correlation between original Y and permuted Y (%): Korelacija med izvirnim Y in permutiranim Y (%) bottom: false def `set_data`: left: false AUC: true - '#000': false - '#333': false + '#000': true + '#333': true pen: false symbol: false o: false brush: false - '#6fa255': false + '#6fa255': true s: false - '#3a78b6': false + '#3a78b6': true size: false hoverable: false tip: false - 'x: {x:.3g}\ny: {y:.3g}': false - Train: Testni - CV: Prečno preverjanje + 'x: {x:.3g}\ny: {y:.3g}': true + Train: Učna + CV: Prečno class `OWPermutationPlot`: - Permutation Plot: Permutacijska krivulja - Permutation analysis plotting: Prikaz permutacijske analize + Permutation Plot: Permutacijski grafikon + Permutation analysis plotting: Grafični prikaz permutacijske analize icons/PermutationPlot.svg: false graph.plotItem: false class `Inputs`: @@ -8988,7 +8988,25 @@ widgets/evaluate/owpermutationplot.py: {y_cv:.4f} - ': false + ': ' + + + + + + + + + + + + + + + + +
Kor. = 0Kor. = 100
Učni{intercept_tr:.4f}{y_tr:.4f}
Prečno{intercept_cv:.4f}{y_cv:.4f}
+ ' def `send_report`: Settings: Nastavitve Permutations: Permutacije @@ -9037,7 +9055,7 @@ widgets/evaluate/owpredictions.py: Classes in data and model: razrede iz tabele in modelov Don't show probabilities: Ne kaži verjetnosti Show probabilities for classes in the data: Pokaži verjetnosti razredov v tabeli - Show probabilities for classes known to the model,\n: Pokaži verjetnosti razredov, ki jih napovedujejo modeli,\m + Show probabilities for classes known to the model,\n: Pokaži verjetnosti razredov, ki jih napovedujejo modeli,\n including those that don't appear in this data: vključno s temi, ki jih v podatkih ni. Show probabilities for classes in data that are also\n: Pokaži verjetnosti razredov, ki se pojavijo v podatkih\n known to the model: in so znani tudi modelom. @@ -9072,7 +9090,7 @@ widgets/evaluate/owpredictions.py: def `_get_details`: Data:
: Podatki:
: false - "Model: {n_predictors} {pl(n_predictors, 'model')}": Modeli: {n_predictors} {plsi(n_predictors, "model")} + "Model: {n_predictors} {pl(n_predictors, 'model')}": Modeli: {n_predictors} {plsi(n_predictors, 'model')} ' ({n_predictors - n_valid} failed)': ' ({n_predictors - n_valid} z napako)'